# awesome-gradient-boosting-papers

**Repository Path**: oosio/awesome-gradient-boosting-papers

## Basic Information

- **Project Name**: awesome-gradient-boosting-papers
- **Description**: A curated list of gradient boosting research papers with implementations. 
- **Primary Language**: Unknown
- **License**: CC0-1.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-12-12
- **Last Updated**: 2022-05-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Awesome Gradient Boosting Research Papers.
[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome) [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) ![GitHub stars](https://img.shields.io/github/stars/benedekrozemberczki/awesome-gradient-boosting-papers.svg?style=plastic) ![GitHub forks](https://img.shields.io/github/forks/benedekrozemberczki/awesome-gradient-boosting-papers.svg?color=blue&style=plastic) ![License](https://img.shields.io/github/license/benedekrozemberczki/awesome-gradient-boosting-papers.svg?color=blue&style=plastic)
<p align="center">
  <img width="450" src="boosting.gif">
</p>

A curated list of gradient and adaptive boosting papers with implementations from the following conferences:

- Machine learning
   * [NeurIPS](https://nips.cc/) 
   * [ICML](https://icml.cc/) 
   * [ICLR](https://iclr.cc/)
- Computer vision
   * [CVPR](http://cvpr2019.thecvf.com/)
   * [ICCV](http://iccv2019.thecvf.com/)
   * [ECCV](https://eccv2018.org/)
- Natural language processing
   * [ACL](http://www.acl2019.org/EN/index.xhtml)
   * [NAACL](https://naacl2019.org/)
   * [EMNLP](https://www.emnlp-ijcnlp2019.org/) 
- Data
   * [KDD](https://www.kdd.org/)
   * [CIKM](http://www.cikmconference.org/)   
   * [ICDM](http://icdm2019.bigke.org/)
   * [SDM](https://www.siam.org/Conferences/CM/Conference/sdm19)   
   * [PAKDD](http://pakdd2019.medmeeting.org)
   * [PKDD/ECML](http://ecmlpkdd2019.org)
   * [RECSYS](https://recsys.acm.org/)
   * [SIGIR](https://sigir.org/)
   * [WWW](https://www2019.thewebconf.org/)
   * [WSDM](www.wsdm-conference.org) 
- Artificial intelligence
   * [AAAI](https://www.aaai.org/)
   * [AISTATS](https://www.aistats.org/)
   * [ICANN](https://e-nns.org/icann2019/)   
   * [IJCAI](https://www.ijcai.org/)
   * [UAI](http://www.auai.org/)

Similar collections about [graph classification](https://github.com/benedekrozemberczki/awesome-graph-classification), [classification/regression tree](https://github.com/benedekrozemberczki/awesome-decision-tree-papers), [fraud detection](https://github.com/benedekrozemberczki/awesome-fraud-detection-papers), [Monte Carlo tree search](https://github.com/benedekrozemberczki/awesome-monte-carlo-tree-search-papers), and [community detection](https://github.com/benedekrozemberczki/awesome-community-detection) papers with implementations.

## 2019

- **Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME (AAAI 2019)**
  - Farhad Shakerin, Gopal Gupta
  - [[Paper]](https://arxiv.org/abs/1808.00629)

- **Verifying Robustness of Gradient Boosted Models (AAAI 2019)**
  - Gil Einziger, Maayan Goldstein, Yaniv Sa'ar, Itai Segall
  - [[Paper]](https://arxiv.org/pdf/1906.10991.pdf)

- **Online Multiclass Boosting with Bandit Feedback (AISTATS 2019)**
  - Daniel T. Zhang, Young Hun Jung, Ambuj Tewari
  - [[Paper]](https://arxiv.org/abs/1810.05290)
  
- **AdaFair: Cumulative Fairness Adaptive Boosting (CIKM 2019)**
  - Vasileios Iosifidis, Eirini Ntoutsi
  - [[Paper]](https://arxiv.org/abs/1909.08982)

- **Interpretable MTL from Heterogeneous Domains using Boosted Tree (CIKM 2019)**
  - Ya-Lin Zhang, Longfei Li
  - [[Paper]](https://dl.acm.org/citation.cfm?id=3357384.3358072)

- **Adversarial Training of Gradient-Boosted Decision Trees (CIKM 2019)**
  - Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei
  - [[Paper]](https://www.dais.unive.it/~calzavara/papers/cikm19.pdf)

- **Boosted Density Estimation Remastered (ICML 2019)**
  - Zac Cranko, Richard Nock
  - [[Paper]](https://arxiv.org/abs/1803.08178)

- **Lossless or Quantized Boosting with Integer Arithmetic (ICML 2019)**
  - Richard Nock, Robert C. Williamson
  - [[Paper]](http://proceedings.mlr.press/v97/nock19a.html)

- **Optimal Minimal Margin Maximization with Boosting (ICML 2019)**
  - Alexander Mathiasen, Kasper Green Larsen, Allan Grønlund
  - [[Paper]](https://arxiv.org/abs/1901.10789)

- **Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number (ICML 2019)**
  - Zaiyi Chen, Yi Xu, Haoyuan Hu, Tianbao Yang
  - [[Paper]](https://arxiv.org/abs/1809.06754)
  
- **Boosting for Comparison-Based Learning (IJCAI 2019)**
  - Michaël Perrot, Ulrike von Luxburg
  - [[Paper]](https://arxiv.org/abs/1810.13333)

- **AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation (IJCAI 2019)**
  - Philip Tannor, Lior Rokach
  - [[Paper]](https://www.ijcai.org/proceedings/2019/0493.pdf)

- **Gradient Boosting with Piece-Wise Linear Regression Trees (IJCAI 2019)**
  - Yu Shi, Jian Li, Zhize Li
  - [[Paper]](https://arxiv.org/abs/1802.05640)
  - [[Code]](https://github.com/GBDT-PL/GBDT-PL)
  
- **SpiderBoost and Momentum: Faster Variance Reduction Algorithms (NeurIPS 2019)**
  - Zhe Wang, Kaiyi Ji, Yi Zhou, Yingbin Liang, Vahid Tarokh
  - [[Paper]](http://papers.nips.cc/paper/8511-spiderboost-and-momentum-faster-variance-reduction-algorithms)

- **Faster Boosting with Smaller Memory (NeurIPS 2019)**
  - Julaiti Alafate, Yoav Freund
  - [[Paper]](https://arxiv.org/abs/1901.09047)

- **Regularized Gradient Boosting (NeurIPS 2019)**
  - Corinna Cortes, Mehryar Mohri, Dmitry Storcheus
  - [[Paper]](https://papers.nips.cc/paper/8784-regularized-gradient-boosting)

- **Margin-Based Generalization Lower Bounds for Boosted Classifiers (NeurIPS 2019)**
  - Allan Grønlund, Lior Kamma, Kasper Green Larsen, Alexander Mathiasen, Jelani Nelson
  - [[Paper]](https://arxiv.org/abs/1909.12518)

- **Minimal Variance Sampling in Stochastic Gradient Boosting (NeurIPS 2019)**
  - Bulat Ibragimov, Gleb Gusev
  - [[Paper]](https://papers.nips.cc/paper/9645-minimal-variance-sampling-in-stochastic-gradient-boosting)

- **Universal Boosting Variational Inference (NeurIPS 2019)**
  - Trevor Campbell, Xinglong Li
  - [[Paper]](https://arxiv.org/abs/1906.01235)

- **Invariance-Inducing Regularization Using Worst-Case Transformations Suffices to Boost Accuracy and Spatial Robustness (NeurIPS 2019)**
  - Fanny Yang, Zuowen Wang, Christina Heinze-Deml
  - [[Paper]](https://arxiv.org/abs/1906.11235)
  
- **Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks (NeurIPS 2019)**
  - Maksym Andriushchenko, Matthias Hein
  - [[Paper]](https://arxiv.org/abs/1906.03526)
  - [[Code]](https://github.com/max-andr/provably-robust-boosting)
  
- **Block-distributed Gradient Boosted Trees (SIGIR 2019)**
  - Theodore Vasiloudis, Hyunsu Cho, Henrik Boström
  - [[Paper]](https://arxiv.org/abs/1904.10522)
  
- **Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning (SIGIR 2019)**
  - Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
  - [[Paper]](https://www.researchgate.net/publication/334579610_Learning_to_Rank_in_Theory_and_Practice_From_Gradient_Boosting_to_Neural_Networks_and_Unbiased_Learning)

## 2018
- **Boosted Generative Models (AAAI 2018)**
  - Aditya Grover, Stefano Ermon
  - [[Paper]](https://arxiv.org/pdf/1702.08484.pdf)
  - [[Code]](https://github.com/ermongroup/bgm)

- **Boosting Variational Inference: an Optimization Perspective (AISTATS 2018)**
  - Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar Rätsch
  - [[Paper]](https://arxiv.org/abs/1708.01733)
  - [[Code]](https://github.com/ratschlab/boosting-bbvi)

- **Online Boosting Algorithms for Multi-label Ranking (AISTATS 2018)**
  - Young Hun Jung, Ambuj Tewari
  - [[Paper]](https://arxiv.org/abs/1710.08079)
  - [[Code]](https://github.com/yhjung88/OnlineMLRBoostingWithVFDT)

- **DualBoost: Handling Missing Values with Feature Weights and Weak Classifiers that Abstain (CIKM 2018)**
  - Weihong Wang, Jie Xu, Yang Wang, Chen Cai, Fang Chen
  - [[Paper]](http://delivery.acm.org/10.1145/3270000/3269319/p1543-wang.pdf?ip=129.215.164.203&id=3269319&acc=ACTIVE%20SERVICE&key=C2D842D97AC95F7A%2EEB9E991028F4E1F1%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1558633895_f01b39fd47b943fd01eade763a397e04)

- **Functional Gradient Boosting based on Residual Network Perception (ICML 2018)**
  - Atsushi Nitanda, Taiji Suzuki
  - [[Paper]](https://arxiv.org/abs/1802.09031)
  - [[Code]](https://github.com/anitan0925/ResFGB)

- **Finding Influential Training Samples for Gradient Boosted Decision Trees (ICML 2018)**
  - Boris Sharchilev, Yury Ustinovskiy, Pavel Serdyukov, Maarten de Rijke
  - [[Paper]](https://arxiv.org/abs/1802.06640)

- **Learning Deep ResNet Blocks Sequentially using Boosting Theory (ICML 2018)**
  - Furong Huang, Jordan T. Ash, John Langford, Robert E. Schapire
  - [[Paper]](https://arxiv.org/abs/1706.04964)
  - [[Code]](https://github.com/JordanAsh/boostresnet)

- **UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits (IJCAI 2018)**
  - Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness B. Shroff
  - [[Paper]](https://www.ijcai.org/proceedings/2018/0338.pdf)
  - [[Code]](https://smpybandits.github.io/docs/Policies.UCBoost.html)

- **Adaboost with Auto-Evaluation for Conversational Models (IJCAI 2018)**
  - Juncen Li, Ping Luo, Ganbin Zhou, Fen Lin, Cheng Niu
  - [[Paper]](https://www.ijcai.org/proceedings/2018/0580.pdf)

- **Ensemble Neural Relation Extraction with Adaptive Boosting (IJCAI 2018)**
  - Dongdong Yang, Senzhang Wang, Zhoujun Li
  - [[Paper]](https://www.ijcai.org/proceedings/2018/0630.pdf)

- **CatBoost: Unbiased Boosting with Categorical Features (NIPS 2018)**
  - Liudmila Ostroumova Prokhorenkova, Gleb Gusev, Aleksandr Vorobev, Anna Veronika Dorogush, Andrey Gulin
  - [[Paper]](https://papers.nips.cc/paper/7898-catboost-unbiased-boosting-with-categorical-features.pdf)
  - [[Code]](https://github.com/catboost/catboost)

- **Multitask Boosting for Survival Analysis with Competing Risks (NIPS 2018)**
  - Alexis Bellot, Mihaela van der Schaar
  - [[Paper]](https://papers.nips.cc/paper/7413-multitask-boosting-for-survival-analysis-with-competing-risks)

- **Multi-Layered Gradient Boosting Decision Trees (NIPS 2018)**
  - Ji Feng, Yang Yu, Zhi-Hua Zhou
  - [[Paper]](https://papers.nips.cc/paper/7614-multi-layered-gradient-boosting-decision-trees.pdf)
  - [[Code]](https://github.com/kingfengji/mGBDT)

- **Boosted Sparse and Low-Rank Tensor Regression (NIPS 2018)**
  - Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang
  - [[Paper]](https://arxiv.org/abs/1811.01158)
  - [[Code]](https://github.com/LifangHe/NeurIPS18_SURF)
  
- **Selective Gradient Boosting for Effective Learning to Rank (SIGIR 2018)**
  - Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani
  - [[Paper]](http://quickrank.isti.cnr.it/selective-data/selective-SIGIR2018.pdf)
  - [[Code]](https://github.com/hpclab/quickrank/blob/master/documentation/selective.md)

## 2017
- **Boosting for Real-Time Multivariate Time Series Classification (AAAI 2017)**
  - Haishuai Wang, Jun Wu
  - [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI17/paper/download/14852/14241)

- **Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost (AAAI 2017)**
  - Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang
  - [[Paper]](https://pdfs.semanticscholar.org/826c/c83d98a5c4c7dcc02be1f4dd9c27e2b99670.pdf)
  - [[Code]](https://github.com/xchhuang/cross-domain-sentiment-classification)

- **Extreme Gradient Boosting and Behavioral Biometrics (AAAI 2017)**
  - Benjamin Manning
  - [[Paper]](https://pdfs.semanticscholar.org/8c6e/6c887d6d47dda3f0c73297fd4da516fef1ee.pdf)

- **FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation (AAAI 2017)**
  - Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen
  - [[Paper]](https://pdfs.semanticscholar.org/d566/73be998b3ed38ccbb53551e38758ae8cfc9d.pdf)

- **Boosting Complementary Hash Tables for Fast Nearest Neighbor Search (AAAI 2017)**
  - Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li
  - [[Paper]](https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14336)

- **Gradient Boosting on Stochastic Data Streams (AISTATS 2017)**
  - Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell
  - [[Paper]](https://arxiv.org/abs/1703.00377)

- **BoostVHT: Boosting Distributed Streaming Decision Trees (CIKM 2017)**
  - Theodore Vasiloudis, Foteini Beligianni, Gianmarco De Francisci Morales
  - [[Paper]](https://melmeric.files.wordpress.com/2010/05/boostvht-boosting-distributed-streaming-decision-trees.pdf)

- **Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features (CVPR 2017)**
  - Arthur Daniel Costea, Robert Varga, Sergiu Nedevschi
  - [[Paper]](http://openaccess.thecvf.com/content_cvpr_2017/papers/Costea_Fast_Boosting_Based_CVPR_2017_paper.pdf)

- **BIER - Boosting Independent Embeddings Robustly (ICCV 2017)**
  - Michael Opitz, Georg Waltner, Horst Possegger, Horst Bischof
  - [[Paper]](http://openaccess.thecvf.com/content_ICCV_2017/papers/Opitz_BIER_-_Boosting_ICCV_2017_paper.pdf)
  - [[Code]](https://github.com/mop/bier)

- **An Analysis of Boosted Linear Classifiers on Noisy Data with Applications to Multiple-Instance Learning (ICDM 2017)**
  - Rui Liu, Soumya Ray
  - [[Paper]](https://ieeexplore.ieee.org/document/8215501)

- **Variational Boosting: Iteratively Refining Posterior Approximations (ICML 2017)**
  - Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams
  - [[Paper]](https://arxiv.org/abs/1611.06585)
  - [[Code]](https://github.com/andymiller/vboost)

- **Boosted Fitted Q-Iteration (ICML 2017)**
  - Samuele Tosatto, Matteo Pirotta, Carlo D'Eramo, Marcello Restelli
  - [[Paper]](http://proceedings.mlr.press/v70/tosatto17a.html)

- **A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency (ICML 2017)**
  - Ron Appel, Pietro Perona
  - [[Paper]](http://proceedings.mlr.press/v70/appel17a.html)
  - [[Code]](https://github.com/GuillaumeCollin/A-Simple-Multi-Class-Boosting-Framework-with-Theoretical-Guarantees-and-Empirical-Proficiency)

- **Gradient Boosted Decision Trees for High Dimensional Sparse Output (ICML 2017)**
  - Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh
  - [[Paper]](http://proceedings.mlr.press/v70/si17a.html)
  - [[Code]](https://github.com/springdaisy/GBDT)

- **Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization (IJCAI 2017)**
  - Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy
  - [[Paper]](http://dmkd.cs.vt.edu/papers/IJCAI17.pdf)
  - [[Code]](https://github.com/benedekrozemberczki/BoostedFactorization)

- **Boosted Zero-Shot Learning with Semantic Correlation Regularization (IJCAI 2017)**
  - Te Pi, Xi Li, Zhongfei (Mark) Zhang
  - [[Paper]](https://arxiv.org/abs/1707.08008)

- **BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency (KDD 2017)**
  - Yin Lou, Mikhail Obukhov
  - [[Paper]](https://yinlou.github.io/papers/lou-kdd17.pdf)
  
- **CatBoost: Gradient Boosting with Categorical Features Support (NIPS 2017)**
  - Anna Veronika Dorogush, Vasily Ershov, Andrey Gulin
  - [[Paper]](https://arxiv.org/abs/1810.11363)
  - [[Code]](https://catboost.ai/)

- **Cost Efficient Gradient Boosting (NIPS 2017)**
  - Sven Peter, Ferran Diego, Fred A. Hamprecht, Boaz Nadler
  - [[Paper]](https://papers.nips.cc/paper/6753-cost-efficient-gradient-boosting)
  - [[Code]](https://github.com/svenpeter42/LightGBM-CEGB)

- **AdaGAN: Boosting Generative Models (NIPS 2017)**
  - Ilya O. Tolstikhin, Sylvain Gelly, Olivier Bousquet, Carl-Johann Simon-Gabriel, Bernhard Schölkopf
  - [[Paper]](https://arxiv.org/abs/1701.02386)
  - [[Code]](https://github.com/tolstikhin/adagan)

- **LightGBM: A Highly Efficient Gradient Boosting Decision Tree (NIPS 2017)**
  - Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu
  - [[Paper]](https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision-tree)
  - [[Code]](https://lightgbm.readthedocs.io/en/latest/)

- **Early Stopping for Kernel Boosting Algorithms: A General Analysis with Localized Complexities (NIPS 2017)**
  - Yuting Wei, Fanny Yang, Martin J. Wainwright
  - [[Paper]](https://arxiv.org/abs/1707.01543)
  - [[Code]](https://github.com/fanny-yang/EarlyStoppingRKHS)

- **Online Multiclass Boosting (NIPS 2017)**
  - Young Hun Jung, Jack Goetz, Ambuj Tewari
  - [[Paper]](https://papers.nips.cc/paper/6693-online-multiclass-boosting.pdf)

- **Stacking Bagged and Boosted Forests for Effective Automated Classification (SIGIR 2017)**
  - Raphael R. Campos, Sérgio D. Canuto, Thiago Salles, Clebson C. A. de Sá, Marcos André Gonçalves
  - [[Paper]](https://homepages.dcc.ufmg.br/~rcampos/papers/sigir2017/appendix.pdf)
  - [[Code]](https://github.com/raphaelcampos/stacking-bagged-boosted-forests)

- **GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees (WWW 2017)**
  - Qian Zhao, Yue Shi, Liangjie Hong
  - [[Paper]](http://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/proceedings/p1311.pdf)
  - [[Code]](https://github.com/grouplens/samantha)

## 2016
- **Group Cost-Sensitive Boosting for Multi-Resolution Pedestrian Detection (AAAI 2016)**
  - Chao Zhu, Yuxin Peng
  - [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/viewFile/11898/12146)
  - [[Code]](https://github.com/nnikolaou/Cost-sensitive-Boosting-Tutorial)

- **Communication Efficient Distributed Agnostic Boosting (AISTATS 2016)**
  - Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau
  - [[Paper]](https://arxiv.org/abs/1506.06318)

- **Logistic Boosting Regression for Label Distribution Learning (CVPR 2016)**
  - Chao Xing, Xin Geng, Hui Xue
  - [[Paper]](https://zpascal.net/cvpr2016/Xing_Logistic_Boosting_Regression_CVPR_2016_paper.pdf)

- **Structured Regression Gradient Boosting (CVPR 2016)**
  - Ferran Diego, Fred A. Hamprecht
  - [[Paper]](https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/1037872734/diego_16_structured.pdf)
  
- **L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization (ICDM 2016)**
  - Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy
  - [[Paper]](https://ieeexplore.ieee.org/document/7837872)
  - [[Code]](https://github.com/benedekrozemberczki/BoostedFactorization)

- **Meta-Gradient Boosted Decision Tree Model for Weight and Target Learning (ICML 2016)**
  - Yury Ustinovskiy, Valentina Fedorova, Gleb Gusev, Pavel Serdyukov
  - [[Paper]](http://proceedings.mlr.press/v48/ustinovskiy16.html)

- **Generalized Dictionary for Multitask Learning with Boosting (IJCAI 2016)**
  - Boyu Wang, Joelle Pineau
  - [[Paper]](https://www.ijcai.org/Proceedings/16/Papers/299.pdf)

- **Self-Paced Boost Learning for Classification (IJCAI 2016)**
  - Te Pi, Xi Li, Zhongfei Zhang, Deyu Meng, Fei Wu, Jun Xiao, Yueting Zhuang
  - [[Paper]](https://pdfs.semanticscholar.org/31b6/ab4a0771d5b7405cacdd12c398b1c832729d.pdf)

- **Interactive Martingale Boosting (IJCAI 2016)**
  - Ashish Kulkarni, Pushpak Burange, Ganesh Ramakrishnan
  - [[Paper]](https://www.ijcai.org/Proceedings/16/Papers/124.pdf)

- **Optimal and Adaptive Algorithms for Online Boosting (IJCAI 2016)**
  - Alina Beygelzimer, Satyen Kale, Haipeng Luo
  - [[Paper]](https://www.ijcai.org/Proceedings/16/Papers/614.pdf)
  - [[Code]](https://github.com/VowpalWabbit/vowpal_wabbit/blob/master/vowpalwabbit/boosting.cc)

- **Rating-Boosted Latent Topics: Understanding Users and Items with Ratings and Reviews (IJCAI 2016)**
  - Yunzhi Tan, Min Zhang, Yiqun Liu, Shaoping Ma
  - [[Paper]](https://pdfs.semanticscholar.org/db63/89e0ca49ec0e4686e40604e7489cb4c0729d.pdf)

- **XGBoost: A Scalable Tree Boosting System (KDD 2016)**
  - Tianqi Chen, Carlos Guestrin
  - [[Paper]](https://www.kdd.org/kdd2016/papers/files/rfp0697-chenAemb.pdf)
  - [[Code]](https://github.com/dmlc/xgboost)

- **Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments (KDD 2016)**
  - Alexey Poyarkov, Alexey Drutsa, Andrey Khalyavin, Gleb Gusev, Pavel Serdyukov
  - [[Paper]](https://www.kdd.org/kdd2016/papers/files/adf0653-poyarkovA.pdf)

- **Boosting with Abstention (NIPS 2016)**
  - Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
  - [[Paper]](https://papers.nips.cc/paper/6336-boosting-with-abstention)

- **SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques (NIPS 2016)**
  - Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky
  - [[Paper]](https://papers.nips.cc/paper/6109-seboost-boosting-stochastic-learning-using-subspace-optimization-techniques.pdf)
  - [[Code]](https://github.com/eladrich/seboost)

- **Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition (NIPS 2016)**
  - Shizhong Han, Zibo Meng, Ahmed-Shehab Khan, Yan Tong
  - [[Paper]](https://arxiv.org/abs/1707.05395)
  - [[Code]](https://github.com/sjsingh91/IB-CNN)
  
- **Generalized BROOF-L2R: A General Framework for Learning to Rank Based on Boosting and Random Forests (SIGIR 2016)**
  - Clebson C. A. de Sá, Marcos André Gonçalves, Daniel Xavier de Sousa, Thiago Salles
  - [[Paper]](https://dl.acm.org/citation.cfm?id=2911540)

## 2015

- **Online Boosting Algorithms for Anytime Transfer and Multitask Learning (AAAI 2015)**
  - Boyu Wang, Joelle Pineau
  - [[Paper]](https://www.cs.mcgill.ca/~jpineau/files/bwang-aaai15.pdf)

- **A Boosted Multi-Task Model for Pedestrian Detection with Occlusion Handling (AAAI 2015)**
  - Chao Zhu, Yuxin Peng
  - [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/viewFile/9879/9825)

- **Efficient Second-Order Gradient Boosting for Conditional Random Fields (AISTATS 2015)**
  - Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin
  - [[Paper]](http://proceedings.mlr.press/v38/chen15b.html)

- **Tumblr Blog Recommendation with Boosted Inductive Matrix Completion (CIKM 2015)**
  - Donghyuk Shin, Suleyman Cetintas, Kuang-Chih Lee, Inderjit S. Dhillon
  - [[Paper]](https://dl.acm.org/citation.cfm?id=2806578)

- **Basis mapping based boosting for object detection (CVPR 2015)**
  - Haoyu Ren, Ze-Nian Li
  - [[Paper]](https://ieeexplore.ieee.org/document/7298766)

- **Tracking-by-Segmentation with Online Gradient Boosting Decision Tree (ICCV 2015)**
  - Jeany Son, Ilchae Jung, Kayoung Park, Bohyung Han
  - [[Paper]](https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf)
  - [[Code]](http://cvlab.postech.ac.kr/research/ogbdt_track/)

- **Learning to Boost Filamentary Structure Segmentation (ICCV 2015)**
  - Lin Gu, Li Cheng
  - [[Paper]](https://isg.nist.gov/BII_2015/webPages/pages/2015_BII_program/PDFs/Day_3/Session_9/Abstract_Gu_Lin.pdf)

- **Optimal and Adaptive Algorithms for Online Boosting (ICML 2015)**
  - Alina Beygelzimer, Satyen Kale, Haipeng Luo
  - [[Paper]](http://proceedings.mlr.press/v37/beygelzimer15.pdf)
  - [[Code]](https://github.com/VowpalWabbit/vowpal_wabbit/blob/master/vowpalwabbit/boosting.cc)

- **Rademacher Observations, Private Data, and Boosting (ICML 2015)**
  - Richard Nock, Giorgio Patrini, Arik Friedman
  - [[Paper]](https://arxiv.org/abs/1502.02322)

- **Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions (ICML 2015)**
  - Taehoon Lee, Sungroh Yoon
  - [[Paper]](https://pdfs.semanticscholar.org/d0ad/beef3053e98dd88ff74f42744417bc65a729.pdf)

- **A Direct Boosting Approach for Semi-supervised Classification (IJCAI 2015)**
  - Shaodan Zhai, Tian Xia, Zhongliang Li, Shaojun Wang
  - [[Paper]](https://www.ijcai.org/Proceedings/15/Papers/565.pdf)

- **A Boosting Algorithm for Item Recommendation with Implicit Feedback (IJCAI 2015)**
  - Yong Liu, Peilin Zhao, Aixin Sun, Chunyan Miao
  - [[Paper]](https://www.ijcai.org/Proceedings/15/Papers/255.pdf)
  - [[Code]](https://github.com/microsoft/recommenders)

- **Training-Time Optimization of a Budgeted Booster (IJCAI 2015)**
  - Yi Huang, Brian Powers, Lev Reyzin
  - [[Paper]](https://www.ijcai.org/Proceedings/15/Papers/504.pdf)

- **Optimal Action Extraction for Random Forests and Boosted Trees (KDD 2015)**
  - Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen
  - [[Paper]](https://www.cse.wustl.edu/~ychen/public/OAE.pdf)

- **Online Gradient Boosting (NIPS 2015)**
  - Alina Beygelzimer, Elad Hazan, Satyen Kale, Haipeng Luo
  - [[Paper]](https://arxiv.org/abs/1506.04820)
  - [[Code]](https://github.com/crm416/online_boosting)
  
- **BROOF: Exploiting Out-of-Bag Errors Boosting and Random Forests for Effective Automated Classification (SIGIR 2015)**
  - Thiago Salles, Marcos André Gonçalves, Victor Rodrigues, Leonardo C. da Rocha
  - [[Paper]](https://homepages.dcc.ufmg.br/~tsalles/broof/appendix.pdf)

- **Boosting Search with Deep Understanding of Contents and Users (WSDM 2015)**
  - Kaihua Zhu
  - [[Paper]](https://www.researchgate.net/publication/282482189_Boosting_Search_with_Deep_Understanding_of_Contents_and_Users)

## 2014
- **On Boosting Sparse Parities (AAAI 2014)**
  - Lev Reyzin
  - [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8587)

- **Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis (CVPR 2014)**
  - Yinghuan Shi, Heung-Il Suk, Yang Gao, Dinggang Shen
  - [[Paper]](https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Shi_Joint_Coupled-Feature_Representation_2014_CVPR_paper.pdf)

- **From Categories to Individuals in Real Time - A Unified Boosting Approach (CVPR 2014)**
  - David Hall, Pietro Perona
  - [[Paper]](https://ieeexplore.ieee.org/document/6909424)
  - [[Code]](http://www.vision.caltech.edu/~dhall/projects/CategoriesToIndividuals/)

- **Efficient Boosted Exemplar-Based Face Detection (CVPR 2014)**
  - Haoxiang Li, Zhe Lin, Jonathan Brandt, Xiaohui Shen, Gang Hua
  - [[Paper]](http://users.eecs.northwestern.edu/~xsh835/assets/cvpr14_exemplarfacedetection.pdf)

- **Facial Expression Recognition via a Boosted Deep Belief Network (CVPR 2014)**
  - Ping Liu, Shizhong Han, Zibo Meng, Yan Tong
  - [[Paper]](https://ieeexplore.ieee.org/abstract/document/6909629)

- **Confidence-Rated Multiple Instance Boosting for Object Detection (CVPR 2014)**
  - Karim Ali, Kate Saenko
  - [[Paper]](https://ieeexplore.ieee.org/document/6909708)

- **The Return of AdaBoost.MH: Multi-Class Hamming Trees (ICLR 2014)**
  - Balázs Kégl
  - [[Paper]](https://arxiv.org/pdf/1312.6086.pdf)
  - [[Code]](https://github.com/aciditeam/acidano/blob/master/acidano/utils/cost.py)

- **Deep Boosting (ICML 2014)**
  - Corinna Cortes, Mehryar Mohri, Umar Syed
  - [[Paper]](http://proceedings.mlr.press/v32/cortesb14.pdf)
  - [[Code]](https://github.com/google/deepboost)

- **A Convergence Rate Analysis for LogitBoost, MART and Their Variant (ICML 2014)**
  - Peng Sun, Tong Zhang, Jie Zhou
  - [[Paper]](http://proceedings.mlr.press/v32/sunc14.pdf)

- **Boosting with Online Binary Learners for the Multiclass Bandit Problem (ICML 2014)**
  - Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu
  - [[Paper]](https://www.cc.gatech.edu/~schen351/paper/icml14boost.pdf)

- **Boosting Multi-Step Autoregressive Forecasts (ICML 2014)**
  - Souhaib Ben Taieb, Rob J. Hyndman
  - [[Paper]](http://proceedings.mlr.press/v32/taieb14.pdf)

- **Dynamic Programming Boosting for Discriminative Macro-Action Discovery (ICML 2014)**
  - Leonidas Lefakis, François Fleuret
  - [[Paper]](http://proceedings.mlr.press/v32/lefakis14.html)

- **Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting (ICML 2014)**
  - Oscar Beijbom, Mohammad J. Saberian, David J. Kriegman, Nuno Vasconcelos
  - [[Paper]](http://proceedings.mlr.press/v32/beijbom14.pdf)

- **A Multi-Class Boosting Method with Direct Optimization (KDD 2014)**
  - Shaodan Zhai, Tian Xia, Shaojun Wang
  - [[Paper]](https://dl.acm.org/citation.cfm?id=2623689)

- **Gradient Boosted Feature Selection (KDD 2014)**
  - Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng
  - [[Paper]](https://arxiv.org/abs/1901.04055)
  - [[Code]](https://github.com/dmlc/xgboost)

- **Multi-Class Deep Boosting (NIPS 2014)**
  - Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
  - [[Paper]](https://papers.nips.cc/paper/5514-multi-class-deep-boosting)

- **Deconvolution of High Dimensional Mixtures via Boosting with Application to Diffusion-Weighted MRI of Human Brain (NIPS 2014)**
  - Charles Y. Zheng, Franco Pestilli, Ariel Rokem
  - [[Paper]](https://papers.nips.cc/paper/5506-deconvolution-of-high-dimensional-mixtures-via-boosting-with-application-to-diffusion-weighted-mri-of-human-brain)

- **A Drifting-Games Analysis for Online Learning and Applications to Boosting (NIPS 2014)**
  - Haipeng Luo, Robert E. Schapire
  - [[Paper]](https://arxiv.org/abs/1406.1856)

- **A Boosting Framework on Grounds of Online Learning (NIPS 2014)**
  - Tofigh Naghibi Mohamadpoor, Beat Pfister
  - [[Paper]](https://papers.nips.cc/paper/5512-a-boosting-framework-on-grounds-of-online-learning.pdf)
  
- **Gradient Boosting Factorization Machines (RECSYS 2014)**
  - Chen Cheng, Fen Xia, Tong Zhang, Irwin King, Michael R. Lyu
  - [[Paper]](http://tongzhang-ml.org/papers/recsys14-fm.pdf)

## 2013

- **Boosting Binary Keypoint Descriptors (CVPR 2013)**
  - Tomasz Trzcinski, C. Mario Christoudias, Pascal Fua, Vincent Lepetit
  - [[Paper]](https://cvlab.epfl.ch/research/page-90554-en-html/research-detect-binboost/)
  - [[Code]](https://github.com/biotrump/cvlab-BINBOOST)

- **PerturBoost: Practical Confidential Classifier Learning in the Cloud (ICDM 2013)**
  - Keke Chen, Shumin Guo
  - [[Paper]](https://ieeexplore.ieee.org/document/6729587)

- **Multiclass Semi-Supervised Boosting Using Similarity Learning (ICDM 2013)**
  - Jafar Tanha, Mohammad Javad Saberian, Maarten van Someren
  - [[Paper]](https://www.cse.msu.edu/~rongjin/publications/MultiClass-08.pdf)

- **Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner (ICML 2013)**
  - Peng Sun, Jie Zhou
  - [[Paper]](http://proceedings.mlr.press/v28/sun13.pdf)

- **General Functional Matrix Factorization Using Gradient Boosting (ICML 2013)**
  - Tianqi Chen, Hang Li, Qiang Yang, Yong Yu
  - [[Paper]](http://w.hangli-hl.com/uploads/3/1/6/8/3168008/icml_2013.pdf)

- **Margins, Shrinkage, and Boosting (ICML 2013)**
  - Matus Telgarsky
  - [[Paper]](https://arxiv.org/abs/1303.4172)

- **Quickly Boosting Decision Trees - Pruning Underachieving Features Early (ICML 2013)**
  - Ron Appel, Thomas J. Fuchs, Piotr Dollár, Pietro Perona
  - [[Paper]](http://proceedings.mlr.press/v28/appel13.pdf)
  - [[Code]](https://github.com/pdollar/toolbox/blob/master/classify/adaBoostTrain.m)

- **Human Boosting (ICML 2013)**
  - Harsh H. Pareek, Pradeep Ravikumar
  - [[Paper]](https://www.cs.cmu.edu/~pradeepr/paperz/humanboosting.pdf)

- **Collaborative Boosting for Activity Classification in Microblogs (KDD 2013)**
  - Yangqiu Song, Zhengdong Lu, Cane Wing-ki Leung, Qiang Yang
  - [[Paper]](http://chbrown.github.io/kdd-2013-usb/kdd/p482.pdf)

- **Direct 0-1 Loss Minimization and Margin Maximization with Boosting (NIPS 2013)**
  - Shaodan Zhai, Tian Xia, Ming Tan, Shaojun Wang
  - [[Paper]](https://papers.nips.cc/paper/5214-direct-0-1-loss-minimization-and-margin-maximization-with-boosting)

- **Reservoir Boosting : Between Online and Offline Ensemble Learning (NIPS 2013)**
  - Leonidas Lefakis, François Fleuret
  - [[Paper]](https://papers.nips.cc/paper/5215-reservoir-boosting-between-online-and-offline-ensemble-learning)

- **Non-Linear Domain Adaptation with Boosting (NIPS 2013)**
  - Carlos J. Becker, C. Mario Christoudias, Pascal Fua
  - [[Paper]](https://papers.nips.cc/paper/5200-non-linear-domain-adaptation-with-boosting)

- **Boosting in the Presence of Label Noise (UAI 2013)**
  - Jakramate Bootkrajang, Ata Kabán
  - [[Paper]](https://arxiv.org/abs/1309.6818)

## 2012
- **Contextual Boost for Pedestrian Detection (CVPR 2012)**
  - Yuanyuan Ding, Jing Xiao
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.308.5611&rep=rep1&type=pdf)

- **Shrink Boost for Selecting Multi-LBP Histogram Features in Object Detection (CVPR 2012)**
  - Cher Keng Heng, Sumio Yokomitsu, Yuichi Matsumoto, Hajime Tamura
  - [[Paper]](https://ieeexplore.ieee.org/document/6248061)

- **Boosting Bottom-Up and Top-Down Visual Features for Saliency Estimation (CVPR 2012)**
  - Ali Borji
  - [[Paper]](http://ilab.usc.edu/borji/papers/cvpr-2012-BUModel-v4.pdf)

- **Boosting Algorithms for Simultaneous Feature Extraction and Selection (CVPR 2012)**
  - Mohammad J. Saberian, Nuno Vasconcelos
  - [[Paper]](http://svcl.ucsd.edu/publications/conference/2012/cvpr/SOPBoost.pdf)

- **Sharing Features in Multi-class Boosting via Group Sparsity (CVPR 2012)**
  - Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel
  - [[Paper]](https://cs.adelaide.edu.au/~paulp/publications/pubs/sharing_cvpr2012.pdf)

- **Feature Weighting and Selection Using Hypothesis Margin of Boosting (ICDM 2012)**
  - Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, David R. Kaeli
  - [[Paper]](http://www.ece.neu.edu/fac-ece/jdy/papers/alshawabkeh-ICDM2012.pdf)

- **An AdaBoost Algorithm for Multiclass Semi-supervised Learning (ICDM 2012)**
  - Jafar Tanha, Maarten van Someren, Hamideh Afsarmanesh
  - [[Paper]]https://ieeexplore.ieee.org/document/6413799)
  
- **AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem (ICML 2012)**
  - Peng Sun, Mark D. Reid, Jie Zhou
  - [[Paper]](AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem)
  - [[Code]](https://github.com/pengsun/AOSOLogitBoost)

- **An Online Boosting Algorithm with Theoretical Justifications (ICML 2012)**
  - Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu
  - [[Paper]](https://arxiv.org/abs/1206.6422)

- **Learning Image Descriptors with the Boosting-Trick (NIPS 2012)**
  - Tomasz Trzcinski, C. Mario Christoudias, Vincent Lepetit, Pascal Fua
  - [[Paper]](https://papers.nips.cc/paper/4848-learning-image-descriptors-with-the-boosting-trick.pdf)
  - [[Code]](https://github.com/biotrump/cvlab-BINBOOST)

- **Accelerated Training for Matrix-norm Regularization: A Boosting Approach (NIPS 2012)**
  - Xinhua Zhang, Yaoliang Yu, Dale Schuurmans
  - [[Paper]](https://papers.nips.cc/paper/4663-accelerated-training-for-matrix-norm-regularization-a-boosting-approach)
  
- **Learning from Heterogeneous Sources via Gradient Boosting Consensus (SDM 2012)**
  - Xiaoxiao Shi, Jean-François Paiement, David Grangier, Philip S. Yu
  - [[Paper]](http://david.grangier.info/papers/2012/shi_sdm_2012.pdf)
  - [[Code]](https://github.com/PriyeshV/GBDT-CC)

## 2011
- **Selective Transfer Between Learning Tasks Using Task-Based Boosting (AAAI 2011)**
  - Eric Eaton, Marie desJardins
  - [[Paper]](http://www.cis.upenn.edu/~eeaton/papers/Eaton2011Selective.pdf)

- **Incorporating Boosted Regression Trees into Ecological Latent Variable Models (AAAI 2011)**
  - Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Dietterich
  - [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI11/paper/viewFile/3711/4086)

- **FlowBoost - Appearance Learning from Sparsely Annotated Video (CVPR 2011)**
  - Karim Ali, David Hasler, François Fleuret
  - [[Paper]](http://www.karimali.org/publications/AHF_CVPR11.pdf)

- **AdaBoost on Low-Rank PSD Matrices for Metric Learning (CVPR 2011)**
  - Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf
  - [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5995363)

- **Boosted Local Structured HOG-LBP for Object Localization (CVPR 2011)**
  - Junge Zhang, Kaiqi Huang, Yinan Yu, Tieniu Tan
  - [[Paper]](http://www.cbsr.ia.ac.cn/users/ynyu/1682.pdf)

- **A Direct Formulation for Totally-Corrective Multi-Class Boosting (CVPR 2011)**
  - Chunhua Shen, Zhihui Hao
  - [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5995554)

- **Gated Classifiers: Boosting Under High Intra-class Variation (CVPR 2011)**
  - Oscar M. Danielsson, Babak Rasolzadeh, Stefan Carlsson
  - [[Paper]](http://www.nada.kth.se/cvap/cvg/papers/danielssonCVPR11.pdf)

- **TaylorBoost: First and Second-order Boosting Algorithms with Explicit Margin Control (CVPR 2011)**
  - Mohammad J. Saberian, Hamed Masnadi-Shirazi, Nuno Vasconcelos
  - [[Paper]](https://ieeexplore.ieee.org/document/5995605)
  - [[Code]](https://pythonhosted.org/bob.learn.boosting/)

- **Robust and Efficient Regularized Boosting Using Total Bregman Divergence (CVPR 2011)**
  - Meizhu Liu, Baba C. Vemuri
  - [[Paper]](https://ieeexplore.ieee.org/document/5995686)

- **Treat Samples differently: Object Tracking with Semi-Supervised Online CovBoost (ICCV 2011)**
  - Guorong Li, Lei Qin, Qingming Huang, Junbiao Pang, Shuqiang Jiang
  - [[Paper]](https://ieeexplore.ieee.org/document/6126297)

- **LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction (ICDM 2011)**
  - Prakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain
  - [[Paper]](http://www.cse.msu.edu/~ptan/papers/icdm2011.pdf)

- **Learning Markov Logic Networks via Functional Gradient Boosting (ICDM 2011)**
  - Tushar Khot, Sriraam Natarajan, Kristian Kersting, Jude W. Shavlik
  - [[Paper]](https://github.com/starling-lab/BoostSRL)
  - [[Code]](https://ieeexplore.ieee.org/document/6137236)

- **Boosting on a Budget: Sampling for Feature-Efficient Prediction (ICML 2011)**
  - Lev Reyzin
  - [[Paper]](http://www.icml-2011.org/papers/348_icmlpaper.pdf)

- **Multiclass Boosting with Hinge Loss based on Output Coding (ICML 2011)**
  - Tianshi Gao, Daphne Koller
  - [[Paper]](http://ai.stanford.edu/~tianshig/papers/multiclassHingeBoost-ICML2011.pdf)
  - [[Code]](https://github.com/memect/hao/blob/master/awesome/multiclass-boosting.md)

- **Generalized Boosting Algorithms for Convex Optimization (ICML 2011)**
  - Alexander Grubb, Drew Bagnell
  - [[Paper]](https://arxiv.org/pdf/1105.2054.pdf)

- **Imitation Learning in Relational Domains: A Functional-Gradient Boosting Approach (IJCAI 2011)**
  - Sriraam Natarajan, Saket Joshi, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik
  - [[Paper]](http://ftp.cs.wisc.edu/machine-learning/shavlik-group/natarajan.ijcai11.pdf)

- **Boosting with Maximum Adaptive Sampling (NIPS 2011)**
  - Charles Dubout, François Fleuret
  - [[Paper]](https://papers.nips.cc/paper/4310-boosting-with-maximum-adaptive-sampling)

- **The Fast Convergence of Boosting (NIPS 2011)**
  - Matus Telgarsky
  - [[Paper]](https://papers.nips.cc/paper/4343-the-fast-convergence-of-boosting)

- **ShareBoost: Efficient Multiclass Learning with Feature Sharing (NIPS 2011)**
  - Shai Shalev-Shwartz, Yonatan Wexler, Amnon Shashua
  - [[Paper]](https://papers.nips.cc/paper/4213-shareboost-efficient-multiclass-learning-with-feature-sharing)

- **Multiclass Boosting: Theory and Algorithms (NIPS 2011)**
  - Mohammad J. Saberian, Nuno Vasconcelos
  - [[Paper]](https://papers.nips.cc/paper/4450-multiclass-boosting-theory-and-algorithms.pdf)

- **Variance Penalizing AdaBoost (NIPS 2011)**
  - Pannagadatta K. Shivaswamy, Tony Jebara
  - [[Paper]](https://papers.nips.cc/paper/4207-variance-penalizing-adaboost.pdf)

- **MKBoost: A Framework of Multiple Kernel Boosting (SDM 2011)**
  - Hao Xia, Steven C. H. Hoi
  - [[Paper]](https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3280&context=sis_research)

- **A Boosting Approach to Improving Pseudo-Relevance Feedback (SIGIR 2011)**
  - Yuanhua Lv, ChengXiang Zhai, Wan Chen
  - [[Paper]](http://www.tyr.unlu.edu.ar/tallerIR/2012/papers/pseudorelevance.pdf)

- **Bagging Gradient-Boosted Trees for High Precision, Low Variance Ranking Models (SIGIR 2011)**
  - Yasser Ganjisaffar, Rich Caruana, Cristina Videira Lopes
  - [[Paper]](http://www.ccs.neu.edu/home/vip/teach/MLcourse/4_boosting/materials/bagging_lmbamart_jforests.pdf)

- **Boosting as a Product of Experts (UAI 2011)**
  - Narayanan Unny Edakunni, Gary Brown, Tim Kovacs
  - [[Paper]](https://arxiv.org/abs/1202.3716)

- **Parallel Boosted Regression Trees for Web Search Ranking (WWW 2011)**
  - Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin
  - [[Paper]](http://www.cs.cornell.edu/~kilian/papers/fr819-tyreeA.pdf)
  - [[Code]](https://github.com/YS-L/pgbm)

## 2010
- **The Boosting Effect of Exploratory Behaviors (AAAI 2010)**
  - Jivko Sinapov, Alexander Stoytchev
  - [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI10/paper/download/1777/2265)

- **Boosting-Based System Combination for Machine Translation (ACL 2010)**
  - Tong Xiao, Jingbo Zhu, Muhua Zhu, Huizhen Wang
  - [[Paper]](https://www.aclweb.org/anthology/P10-1076)

- **BagBoo: A Scalable Hybrid Bagging-the-Boosting Model (CIKM 2010)**
  - Dmitry Yurievich Pavlov, Alexey Gorodilov, Cliff A. Brunk
  - [[Paper]](http://cache-default03h.cdn.yandex.net/download.yandex.ru/company/a_scalable_hybrid_bagging_the_boosting_model.pdf)
  - [[Code]](https://github.com/arogozhnikov/infiniteboost)

- **Automatic Detection of Craters in Planetary Images: an Embedded Framework Using Feature Selection and Boosting (CIKM 2010)**
  - Wei Ding, Tomasz F. Stepinski, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao
  - [[Paper]](https://www.uh.edu/~rvilalta/papers/2010/cikm10.pdf)

- **Facial Point Detection Using Boosted Regression and Graph Models (CVPR 2010)**
  - Michel François Valstar, Brais Martínez, Xavier Binefa, Maja Pantic
  - [[Paper]](https://ibug.doc.ic.ac.uk/media/uploads/documents/CVPR-2010-ValstarEtAl-CAMERA.pdf)

- **Boosting for Transfer Learning with Multiple Sources (CVPR 2010)**
  - Yi Yao, Gianfranco Doretto
  - [[Paper]](https://ieeexplore.ieee.org/document/5539857)

- **Efficient Rotation Invariant Object Detection Using Boosted Random Ferns (CVPR 2010)**
  - Michael Villamizar, Francesc Moreno-Noguer, Juan Andrade-Cetto, Alberto Sanfeliu
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.307.4002&rep=rep1&type=pdf)
  
- **Implicit Hierarchical Boosting for Multi-view Object Detection (CVPR 2010)**
  - Xavier Perrotton, Marc Sturzel, Michel Roux
  - [[Paper]](https://ieeexplore.ieee.org/document/5540115)

- **On-Line Semi-Supervised Multiple-Instance Boosting (CVPR 2010)**
  - Bernhard Zeisl, Christian Leistner, Amir Saffari, Horst Bischof
  - [[Paper]](https://ieeexplore.ieee.org/document/5539860)

- **Online Multi-Class LPBoost (CVPR 2010)**
  - Amir Saffari, Martin Godec, Thomas Pock, Christian Leistner, Horst Bischof
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.165.8939&rep=rep1&type=pdf)
  - [[Code]](https://github.com/amirsaffari/online-multiclass-lpboost)

- **Homotopy Regularization for Boosting (ICDM 2010)**
  - Zheng Wang, Yangqiu Song, Changshui Zhang
  - [[Paper]](https://ieeexplore.ieee.org/document/5694094)

- **Exploiting Local Data Uncertainty to Boost Global Outlier Detection (ICDM 2010)**
  - Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao, Philip S. Yu
  - [[Paper]](https://ieeexplore.ieee.org/document/5693984)

- **Boosting Classifiers with Tightened L0-Relaxation Penalties (ICML 2010)**
  - Noam Goldberg, Jonathan Eckstein
  - [[Paper]](https://pdfs.semanticscholar.org/11df/aed4ec2a2f72878789fa3a54d588d693bdda.pdf)

- **Boosting for Regression Transfer (ICML 2010)**
  - David Pardoe, Peter Stone
  - [[Paper]](https://www.cs.utexas.edu/~dpardoe/papers/ICML10.pdf)
  - [[Code]](https://github.com/jay15summer/Two-stage-TrAdaboost.R2)

- **Boosted Backpropagation Learning for Training Deep Modular Networks (ICML 2010)**
  - Alexander Grubb, J. Andrew Bagnell
  - [[Paper]](https://icml.cc/Conferences/2010/papers/451.pdf)

- **Fast Boosting Using Adversarial Bandits (ICML 2010)**
  - Róbert Busa-Fekete, Balázs Kégl
  - [[Paper]](https://www.lri.fr/~kegl/research/PDFs/BuKe10.pdf)

- **Boosting with Structure Information in the Functional Space: an Application to Graph Classification (KDD 2010)**
  - Hongliang Fei, Jun Huan
  - [[Paper]](https://dl.acm.org/citation.cfm?id=1835804.1835886)

- **Multi-task Learning for Boosting with Application to Web Search Ranking (KDD 2010)**
  - Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng
  - [[Paper]](https://dl.acm.org/citation.cfm?id=1835953)

- **A Theory of Multiclass Boosting (NIPS 2010)**
  - Indraneel Mukherjee, Robert E. Schapire
  - [[Paper]](http://rob.schapire.net/papers/multiboost-journal.pdf)

- **Boosting Classifier Cascades (NIPS 2010)**
  - Mohammad J. Saberian, Nuno Vasconcelos
  - [[Paper]](https://papers.nips.cc/paper/4033-boosting-classifier-cascades.pdf)

- **Joint Cascade Optimization Using A Product Of Boosted Classifiers (NIPS 2010)**
  - Leonidas Lefakis, François Fleuret
  - [[Paper]](https://papers.nips.cc/paper/4148-joint-cascade-optimization-using-a-product-of-boosted-classifiers)

- **Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost (UAI 2010)**
  - Ping Li
  - [[Paper]](https://arxiv.org/abs/1203.3491)
  - [[Code]](https://github.com/pengsun/AOSOLogitBoost)

## 2009

- **Feature Selection for Ranking Using Boosted Trees (CIKM 2009)**
  - Feng Pan, Tim Converse, David Ahn, Franco Salvetti, Gianluca Donato
  - [[Paper]](http://www.francosalvetti.com/cikm09_camera2.pdf)

- **Boosting KNN Text Classification Accuracy by Using Supervised Term Weighting Schemes (CIKM 2009)**
  - Iyad Batal, Milos Hauskrecht
  - [[Paper]](https://people.cs.pitt.edu/~milos/research/CIKM_2009_boosting_KNN.pdf)
  
- **Stochastic Gradient Boosted Distributed Decision Trees (CIKM 2009)**
  - Jerry Ye, Jyh-Herng Chow, Jiang Chen, Zhaohui Zheng
  - [[Paper]](http://cse.iitrpr.ac.in/ckn/courses/f2012/thomas.pdf)

- **A General Magnitude-Preserving Boosting Algorithm for Search Ranking (CIKM 2009)**
  - Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang Wang, Dong Wang, Zheng Chen
  - [[Paper]](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/06/cikm2009-1.pdf)
  
- **Reducing Joint Boost-Based Multiclass Classification to Proximity Search (CVPR 2009)**
  - Alexandra Stefan, Vassilis Athitsos, Quan Yuan, Stan Sclaroff
  - [[Paper]](https://www.semanticscholar.org/paper/Reducing-JointBoost-based-multiclass-classification-Stefan-Athitsos/08ba1a7d91ce9b4ac26869bfe4bb7c955b0d1a24)

- **Imbalanced RankBoost for Efficiently Ranking Large-Scale Image-Video Collections (CVPR 2009)**
  - Michele Merler, Rong Yan, John R. Smith
  - [[Paper]](https://www.semanticscholar.org/paper/Imbalanced-RankBoost-for-efficiently-ranking-Merler-Yan/031ba6bf0d6df8bd3aa686ce85791b7d74f0b6d5)

- **Regularized Multi-Class Semi-Supervised Boosting (CVPR 2009)**
  - Amir Saffari, Christian Leistner, Horst Bischof
  - [[Paper]](https://ieeexplore.ieee.org/abstract/document/5206715)

- **Learning to Associate: HybridBoosted Multi-Target Tracker for Crowded Scene (CVPR 2009)**
  - Yuan Li, Chang Huang, Ram Nevatia
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.309.8335&rep=rep1&type=pdf)

- **Boosted Multi-task Learning for Face Verification with Applications to Web Image and Video Search (CVPR 2009)**
  - Xiaogang Wang, Cha Zhang, Zhengyou Zhang
  - [[Paper]](http://www.ee.cuhk.edu.hk/~xgwang/webface.pdf)

- **LidarBoost: Depth Superresolution for ToF 3D Shape Scanning (CVPR 2009)**
  - Sebastian Schuon, Christian Theobalt, James E. Davis, Sebastian Thrun
  - [[Paper]](http://ai.stanford.edu/~schuon/sr/cvpr09_poster_lidarboost.pdf)

- **Model Adaptation via Model Interpolation and Boosting for Web Search Ranking (EMNLP 2009)**
  - Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie Svore, Yi Su, Nazan Khan, Shalin Shah, Hongyan Zhou
  - [[Paper]](https://pdfs.semanticscholar.org/7a82/66335d0b44596574588eabb090bfeae4ab35.pdf)

- **Finding Shareable Informative Patterns and Optimal Coding Matrix for Multiclass Boosting (ICCV 2009)**
  - Bang Zhang, Getian Ye, Yang Wang, Jie Xu, Gunawan Herman
  - [[Paper]](https://ieeexplore.ieee.org/document/5459146)

- **RankBoost with L1 Regularization for Facial Expression Recognition and Intensity Estimation (ICCV 2009)**
  - Peng Yang, Qingshan Liu, Dimitris N. Metaxas
  - [[Paper]](https://ieeexplore.ieee.org/document/5459371)

- **A Robust Boosting Tracker with Minimum Error Bound in a Co-Training Framework (ICCV 2009)**
  - Rong Liu, Jian Cheng, Hanqing Lu
  - [[Paper]](http://nlpr-web.ia.ac.cn/2009papers/gjhy/gh1.pdf)

- **Tutorial Summary: Survey of Boosting from an Optimization Perspective (ICML 2009)**
  - Manfred K. Warmuth, S. V. N. Vishwanathan
  - [[Paper]](http://www.stat.purdue.edu/~vishy/erlpboost/manfred.pdf)

- **Boosting Products of Base Classifiers (ICML 2009)**
  - Balázs Kégl, Róbert Busa-Fekete
  - [[Paper]](https://users.lal.in2p3.fr/kegl/research/PDFs/keglBusafekete09.pdf)

- **ABC-boost: Adaptive Base Class Boost for Multi-Class Classification (ICML 2009)**
  - Ping Li
  - [[Paper]](https://icml.cc/Conferences/2009/papers/417.pdf)

- **Boosting with Structural Sparsity (ICML 2009)**
  - John C. Duchi, Yoram Singer
  - [[Paper]](https://web.stanford.edu/~jduchi/projects/DuchiSi09a.pdf)

- **Boosting Constrained Mutual Subspace Method for Robust Image-Set Based Object Recognition (IJCAI 2009)**
  - Xi Li, Kazuhiro Fukui, Nanning Zheng
  - [[Paper]](https://www.researchgate.net/publication/220812439_Boosting_Constrained_Mutual_Subspace_Method_for_Robust_Image-Set_Based_Object_Recognition)

- **Information Theoretic Regularization for Semi-supervised Boosting (KDD 2009)**
  - Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
  - [[Paper]](https://pdfs.semanticscholar.org/5255/242d50851ce56354e10ae8fdcee6f47591c9.pdf)

- **Potential-Based Agnostic Boosting (NIPS 2009)**
  - Adam Kalai, Varun Kanade
  - [[Paper]](https://papers.nips.cc/paper/3676-potential-based-agnostic-boosting)

- **Positive Semidefinite Metric Learning with Boosting (NIPS 2009)**
  - Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel
  - [[Paper]](https://papers.nips.cc/paper/3658-positive-semidefinite-metric-learning-with-boosting)

- **Boosting with Spatial Regularization (NIPS 2009)**
  - Zhen James Xiang, Yongxin Taylor Xi, Uri Hasson, Peter J. Ramadge
  - [[Paper]](https://papers.nips.cc/paper/3696-boosting-with-spatial-regularization)
  
- **Effective Boosting of Na%C3%AFve Bayesian Classifiers by Local Accuracy Estimation (PAKDD 2009)**
  - Zhipeng Xie
  - [[Paper]](https://link.springer.com/chapter/10.1007/978-3-642-01307-2_88)

- **Multi-resolution Boosting for Classification and Regression Problems (PAKDD 2009)**
  - Chandan K. Reddy, Jin Hyeong Park
  - [[Paper]](http://dmkd.cs.vt.edu/papers/PAKDD09.pdf)

- **Efficient Active Learning with Boosting (SDM 2009)**
  - Zheng Wang, Yangqiu Song, Changshui Zhang
  - [[Paper]](https://pdfs.semanticscholar.org/c8be/b70c37e4b4c4ad77e46b39060c977779d201.pdf)

## 2008
- **Group-Based Learning: A Boosting Approach (CIKM 2008)**
  - Weijian Ni, Jun Xu, Hang Li, Yalou Huang
  - [[Paper]](http://www.bigdatalab.ac.cn/~junxu/publications/CIKM2008_GroupLearn.pdf)

- **Semi-Supervised Boosting Using Visual Similarity Learning (CVPR 2008)**
  - Christian Leistner, Helmut Grabner, Horst Bischof
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.144.7914&rep=rep1&type=pdf)

- **Mining Compositional Features for Boosting (CVPR 2008)**
  - Junsong Yuan, Jiebo Luo, Ying Wu
  - [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4587347)

- **Boosted Deformable Model for Human Body Alignment (CVPR 2008)**
  - Xiaoming Liu, Ting Yu, Thomas Sebastian, Peter H. Tu
  - [[Paper]](https://www.cse.msu.edu/~liuxm/publication/Liu_Yu_Sebastian_Tu_cvpr08.pdf)

- **Discriminative Modeling by Boosting on Multilevel Aggregates (CVPR 2008)**
  - Jason J. Corso
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.409.3166&rep=rep1&type=pdf)

- **Face Alignment via Boosted Ranking Model (CVPR 2008)**
  - Hao Wu, Xiaoming Liu, Gianfranco Doretto
  - [[Paper]](https://ieeexplore.ieee.org/document/4587753)
  
- **Boosting Adaptive Linear Weak Classifiers for Online Learning and Tracking (CVPR 2008)**
  - Toufiq Parag, Fatih Porikli, Ahmed M. Elgammal
  - [[Paper]](https://www.merl.com/publications/docs/TR2008-065.pdf)

- **Detection with Multi-Exit Asymmetric Boosting (CVPR 2008)**
  - Minh-Tri Pham, V-D. D. Hoang, Tat-Jen Cham
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.330.6364&rep=rep1&type=pdf)

- **Boosting Ordinal Features for Accurate and Fast Iris Recognition (CVPR 2008)**
  - Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu, Cheng Zhong, Wenbo Dong
  - [[Paper]](https://www.researchgate.net/publication/224323296_Boosting_ordinal_features_for_accurate_and_fast_iris_recognition)

- **Adaptive and Compact Shape Descriptor by Progressive Feature Combination and Selection with Boosting (CVPR 2008)**
  - Cheng Chen, Yueting Zhuang, Jun Xiao, Fei Wu
  - [[Paper]](https://ieeexplore.ieee.org/document/4587613)
  
- **Boosting Relational Sequence Alignments (ICDM 2008)**
  - Andreas Karwath, Kristian Kersting, Niels Landwehr
  - [[Paper]](https://www.cs.uni-potsdam.de/~landwehr/ICDM08boosting.pdf)

- **Boosting with Incomplete Information (ICML 2008)**
  - Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori, Feng Jiao
  - [[Paper]](http://users.monash.edu.au/~gholamrh/publications/boosting_icml08_slides.pdf)
  
- **ManifoldBoost: Stagewise Function Approximation for Fully-, Semi- and Un-supervised Learning (ICML 2008)**
  - Nicolas Loeff, David A. Forsyth, Deepak Ramachandran
  - [[Paper]](http://reason.cs.uiuc.edu/deepak/manifoldboost.pdf)

- **Random Classification Noise Defeats All Convex Potential Boosters (ICML 2008)**
  - Philip M. Long, Rocco A. Servedio
  - [[Paper]](http://phillong.info/publications/LS09_potential.pdf)

- **Multi-class Cost-Sensitive Boosting with P-norm Loss Functions (KDD 2008)**
  - Aurelie C. Lozano, Naoki Abe
  - [[Paper]](https://dl.acm.org/citation.cfm?id=1401953)

- **MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features (NIPS 2008)**
  - Tae-Kyun Kim, Roberto Cipolla
  - [[Paper]](https://papers.nips.cc/paper/3483-mcboost-multiple-classifier-boosting-for-perceptual-co-clustering-of-images-and-visual-features)

- **PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning (NIPS 2008)**
  - Chunhua Shen, Alan Welsh, Lei Wang
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.879.7750&rep=rep1&type=pdf)

- **On the Design of Loss Functions for Classification: Theory, Robustness to Outliers, and SavageBoost (NIPS 2008)**
  - Hamed Masnadi-Shirazi, Nuno Vasconcelos
  - [[Paper]](https://papers.nips.cc/paper/3591-on-the-design-of-loss-functions-for-classification-theory-robustness-to-outliers-and-savageboost)

- **Adaptive Martingale Boosting (NIPS 2008)**
  - Philip M. Long, Rocco A. Servedio
  - [[Paper]](http://phillong.info/publications/LS08_adaptive_martingale_boosting.pdf)
  
- **A Boosting Algorithm for Learning Bipartite Ranking Functions with Partially Labeled Data (SIGIR 2008)**
  - Massih-Reza Amini, Tuong-Vinh Truong, Cyril Goutte
  - [[Paper]](http://ama.liglab.fr/~amini/Publis/SemiSupRanking_sigir08.pdf)

## 2007

- **Using Error-Correcting Output Codes with Model-Refinement to Boost Centroid Text Classifier (ACL 2007)**
  - Songbo Tan
  - [[Paper]](https://dl.acm.org/citation.cfm?id=1557794)

- **Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression (CVPR 2007)**
  - Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto
  - [[Paper]](http://vision.ucla.edu/papers/bissaccoYS07.pdf)

- **Generic Face Alignment using Boosted Appearance Model (CVPR 2007)**
  - Xiaoming Liu
  - [[Paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4270290)

- **Eigenboosting: Combining Discriminative and Generative Information (CVPR 2007)**
  - Helmut Grabner, Peter M. Roth, Horst Bischof
  - [[Paper]](https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/grabner_cvpr_07.pdf)

- **Online Learning Asymmetric Boosted Classifiers for Object Detection (CVPR 2007)**
  - Minh-Tri Pham, Tat-Jen Cham
  - [[Paper]](https://ieeexplore.ieee.org/abstract/document/4270108)

- **Improving Part based Object Detection by Unsupervised Online Boosting (CVPR 2007)**
  - Bo Wu, Ram Nevatia
  - [[Paper]](https://ieeexplore.ieee.org/document/4270173)

- **A Specialized Processor Suitable for AdaBoost-Based Detection with Haar-like Features (CVPR 2007)**
  - Masayuki Hiromoto, Kentaro Nakahara, Hiroki Sugano, Yukihiro Nakamura, Ryusuke Miyamoto
  - [[Paper]](https://ieeexplore.ieee.org/document/4270413)

- **Simultaneous Object Detection and Segmentation by Boosting Local Shape Feature based Classifier (CVPR 2007)**
  - Bo Wu, Ram Nevatia
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.309.9795&rep=rep1&type=pdf)

- **Compositional Boosting for Computing Hierarchical Image Structures (CVPR 2007)**
  - Tianfu Wu, Gui-Song Xia, Song Chun Zhu
  - [[Paper]](https://ieeexplore.ieee.org/document/4270059)

- **Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition (CVPR 2007)**
  - Peng Yang, Qingshan Liu, Dimitris N. Metaxas
  - [[Paper]](https://ieeexplore.ieee.org/document/4270084)

- **Object Classification in Visual Surveillance Using Adaboost (CVPR 2007)**
  - John-Paul Renno, Dimitrios Makris, Graeme A. Jones
  - [[Paper]](https://ieeexplore.ieee.org/abstract/document/4270512)

- **A Boosting Regression Approach to Medical Anatomy Detection (CVPR 2007)**
  - Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu
  - [[Paper]](http://ww.w.comaniciu.net/Papers/BoostingRegression_CVPR07.pdf)

- **Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network (CVPR 2007)**
  - Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMillan, Dorin Comaniciu
  - [[Paper]](http://csbio.unc.edu/mcmillan/pubs/CVPR07_Zhang.pdf)

- **Kernel Sharing With Joint Boosting For Multi-Class Concept Detection (CVPR 2007)**
  - Wei Jiang, Shih-Fu Chang, Alexander C. Loui
  - [[Paper]](http://www.ee.columbia.edu/~wjiang/references/jiangcvprws07.pdf)

- **Scale-Space Based Weak Regressors for Boosting (ECML 2007)**
  - Jin Hyeong Park, Chandan K. Reddy
  - [[Paper]](http://www.cs.wayne.edu/~reddy/Papers/ECML07.pdf)

- **Avoiding Boosting Overfitting by Removing Confusing Samples (ECML 2007)**
  - Alexander Vezhnevets, Olga Barinova
  - [[Paper]](http://groups.inf.ed.ac.uk/calvin/hp_avezhnev/Pubs/AvoidingBoostingOverfitting.pdf)

- **DynamicBoost: Boosting Time Series Generated by Dynamical Systems (ICCV 2007)**
  - René Vidal, Paolo Favaro
  - [[Paper]](http://vision.jhu.edu/assets/VidalICCV07.pdf)

- **Incremental Learning of Boosted Face Detector (ICCV 2007)**
  - Chang Huang, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, Masato Kawade
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.126.9012&rep=rep1&type=pdf)

- **Gradient Feature Selection for Online Boosting (ICCV 2007)**
  - Xiaoming Liu, Ting Yu
  - [[Paper]](https://www.cse.msu.edu/~liuxm/publication/Liu_Yu_ICCV2007.pdf)

- **Fast Training and Selection of Haar Features Using Statistics in Boosting-based Face Detection (ICCV 2007)**
  - Minh-Tri Pham, Tat-Jen Cham
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.212.6173&rep=rep1&type=pdf)

- **Cluster Boosted Tree Classifier for Multi-View - Multi-Pose Object Detection (ICCV 2007)**
  - Bo Wu, Ramakant Nevatia
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.309.9885&rep=rep1&type=pdf)

- **Asymmetric Boosting (ICML 2007)**
  - Hamed Masnadi-Shirazi, Nuno Vasconcelos
  - [[Paper]](http://www.svcl.ucsd.edu/publications/conference/2007/icml07/AsymmetricBoosting.pdf)

- **Boosting for Transfer Learning (ICML 2007)**
  - Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu
  - [[Paper]](http://www.cs.ust.hk/~qyang/Docs/2007/tradaboost.pdf)
  
- **Gradient Boosting for Kernelized Output Spaces (ICML 2007)**
  - Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.435.3970&rep=rep1&type=pdf)

- **Boosting a Complete Technique to Find MSS and MUS Thanks to a Local Search Oracle (IJCAI 2007)**
  - Éric Grégoire, Bertrand Mazure, Cédric Piette
  - [[Paper]](http://www.cril.univ-artois.fr/~piette/IJCAI07_HYCAM.pdf)

- **Training Conditional Random Fields Using Virtual Evidence Boosting (IJCAI 2007)**
  - Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry A. Kautz
  - [[Paper]](https://www.ijcai.org/Proceedings/07/Papers/407.pdf)

- **Simple Training of Dependency Parsers via Structured Boosting (IJCAI 2007)**
  - Qin Iris Wang, Dekang Lin, Dale Schuurmans
  - [[Paper]](https://www.ijcai.org/Proceedings/07/Papers/284.pdf)

- **Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree (IJCAI 2007)**
  - Claudia Henry, Richard Nock, Frank Nielsen
  - [[Paper]](https://www.ijcai.org/Proceedings/07/Papers/135.pdf)

- **Managing Domain Knowledge and Multiple Models with Boosting (IJCAI 2007)**
  - Peng Zang, Charles Lee Isbell Jr.
  - [[Paper]](https://www.ijcai.org/Proceedings/07/Papers/185.pdf)

- **Model-Shared Subspace Boosting for Multi-label Classification (KDD 2007)**
  - Rong Yan, Jelena Tesic, John R. Smith
  - [[Paper]](http://rogerioferis.com/VisualRecognitionAndSearch2014/material/papers/IMARSKDD2007.pdf)

- **Regularized Boost for Semi-Supervised Learning (NIPS 2007)**
  - Ke Chen, Shihai Wang
  - [[Paper]](https://papers.nips.cc/paper/3167-regularized-boost-for-semi-supervised-learning.pdf)

- **Boosting Algorithms for Maximizing the Soft Margin (NIPS 2007)**
  - Manfred K. Warmuth, Karen A. Glocer, Gunnar Rätsch
  - [[Paper]](https://papers.nips.cc/paper/3374-boosting-algorithms-for-maximizing-the-soft-margin.pdf)

- **McRank: Learning to Rank Using Multiple Classification and Gradient Boosting (NIPS 2007)**
  - Ping Li, Christopher J. C. Burges, Qiang Wu
  - [[Paper]](https://papers.nips.cc/paper/3270-mcrank-learning-to-rank-using-multiple-classification-and-gradient-boosting.pdf)

- **One-Pass Boosting (NIPS 2007)**
  - Zafer Barutçuoglu, Philip M. Long, Rocco A. Servedio
  - [[Paper]](http://phillong.info/publications/BLS07_one_pass.pdf)

- **Boosting the Area under the ROC Curve (NIPS 2007)**
  - Philip M. Long, Rocco A. Servedio
  - [[Paper]](https://papers.nips.cc/paper/3247-boosting-the-area-under-the-roc-curve.pdf)

- **FilterBoost: Regression and Classification on Large Datasets (NIPS 2007)**
  - Joseph K. Bradley, Robert E. Schapire
  - [[Paper]](http://rob.schapire.net/papers/FilterBoost_paper.pdf)

- **A General Boosting Method and its Application to Learning Ranking Functions for Web Search (NIPS 2007)**
  - Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun
  - [[Paper]](https://pdfs.semanticscholar.org/8f8d/874a3f0217289ba317b1f6175ac3b6f73d70.pdf)

- **Efficient Multiclass Boosting Classification with Active Learning (SDM 2007)**
  - Jian Huang, Seyda Ertekin, Yang Song, Hongyuan Zha, C. Lee Giles
  - [[Paper]](https://epubs.siam.org/doi/abs/10.1137/1.9781611972771.27)

- **AdaRank: a Boosting Algorithm for Information Retrieval (SIGIR 2007)**
  - Jun Xu, Hang Li
  - [[Paper]](http://www.bigdatalab.ac.cn/~junxu/publications/SIGIR2007_AdaRank.pdf)

## 2006

- **Gradient Boosting for Sequence Alignment (AAAI 2006)**
  - Charles Parker, Alan Fern, Prasad Tadepalli
  - [[Paper]](http://web.engr.oregonstate.edu/~afern/papers/aaai06-align.pdf)

- **Boosting Kernel Models for Regression (ICDM 2006)**
  - Ping Sun, Xin Yao
  - [[Paper]](https://www.cs.bham.ac.uk/~xin/papers/icdm06SunYao.pdf)

- **Boosting for Learning Multiple Classes with Imbalanced Class Distribution (ICDM 2006)**
  - Yanmin Sun, Mohamed S. Kamel, Yang Wang
  - [[Paper]](http://people.ee.duke.edu/~lcarin/ImbalancedClassDistribution.pdf)

- **Boosting the Feature Space: Text Classification for Unstructured Data on the Web (ICDM 2006)**
  - Yang Song, Ding Zhou, Jian Huang, Isaac G. Councill, Hongyuan Zha, C. Lee Giles
  - [[Paper]](http://sonyis.me/paperpdf/icdm06_song.pdf)

- **Totally Corrective Boosting Algorithms that Maximize the Margin (ICML 2006)**
  - Manfred K. Warmuth, Jun Liao, Gunnar Rätsch
  - [[Paper]](https://users.soe.ucsc.edu/~manfred/pubs/C75.pdf)
  
- **How Boosting the Margin Can Also Boost Classifier Complexity (ICML 2006)**
  - Lev Reyzin, Robert E. Schapire
  - [[Paper]](http://rob.schapire.net/papers/boost_complexity.pdf)

- **Multiclass Boosting with Repartitioning (ICML 2006)**
  - Ling Li
  - [[Paper]](https://authors.library.caltech.edu/72259/1/p569-li.pdf)

- **AdaBoost is Consistent (NIPS 2006)**
  - Peter L. Bartlett, Mikhail Traskin
  - [[Paper]](http://jmlr.csail.mit.edu/papers/volume8/bartlett07b/bartlett07b.pdf)

- **Boosting Structured Prediction for Imitation Learning (NIPS 2006)**
  - Nathan D. Ratliff, David M. Bradley, J. Andrew Bagnell, Joel E. Chestnutt
  - [[Paper]](https://papers.nips.cc/paper/3154-boosting-structured-prediction-for-imitation-learning.pdf)

- **Chained Boosting (NIPS 2006)**
  - Christian R. Shelton, Wesley Huie, Kin Fai Kan
  - [[Paper]](https://papers.nips.cc/paper/2981-chained-boosting)
  
- **When Efficient Model Averaging Out-Performs Boosting and Bagging (PKDD 2006)**
  - Ian Davidson, Wei Fan
  - [[Paper]](https://link.springer.com/chapter/10.1007/11871637_46)

## 2005
- **Semantic Place Classification of Indoor Environments with Mobile Robots Using Boosting (AAAI 2005)**
  - Axel Rottmann, Óscar Martínez Mozos, Cyrill Stachniss, Wolfram Burgard
  - [[Paper]](http://www2.informatik.uni-freiburg.de/~stachnis/pdf/rottmann05aaai.pdf)
  
- **Boosting-based Parse Reranking with Subtree Features (ACL 2005)**
  - Taku Kudo, Jun Suzuki, Hideki Isozaki
  - [[Paper]](http://chasen.org/~taku/publications/acl2005.pdf)

- **Using RankBoost to Compare Retrieval Systems (CIKM 2005)**
  - Huyen-Trang Vu, Patrick Gallinari
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.98.9470&rep=rep1&type=pdf)

- **Classifier Fusion Using Shared Sampling Distribution for Boosting (ICDM 2005)**
  - Costin Barbu, Raja Tanveer Iqbal, Jing Peng
  - [[Paper]](https://ieeexplore.ieee.org/document/1565659)

- **Semi-Supervised Mixture of Kernels via LPBoost Methods (ICDM 2005)**
  - Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
  - [[Paper]](https://ieeexplore.ieee.org/document/1565728)

- **Efficient Discriminative Learning of Bayesian Network Classifier via Boosted Augmented Naive Bayes (ICML 2005)**
  - Yushi Jing, Vladimir Pavlovic, James M. Rehg
  - [[Paper]](http://mrl.isr.uc.pt/pub/bscw.cgi/d27355/Jing05Efficient.pdf)

- **Unifying the Error-Correcting and Output-Code AdaBoost within the Margin Framework (ICML 2005)**
  - Yijun Sun, Sinisa Todorovic, Jian Li, Dapeng Wu
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.138.4246&rep=rep1&type=pdf)

- **A Smoothed Boosting Algorithm Using Probabilistic Output Codes (ICML 2005)**
  - Rong Jin, Jian Zhang
  - [[Paper]](http://www.stat.purdue.edu/~jianzhan/papers/icml05jin.pdf)

- **Robust Boosting and its Relation to Bagging (KDD 2005)**
  - Saharon Rosset
  - [[Paper]](https://www.tau.ac.il/~saharon/papers/bagboost.pdf)

- **Efficient Computations via Scalable Sparse Kernel Partial Least Squares and Boosted Latent Features (KDD 2005)**
  - Michinari Momma
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.387.2078&rep=rep1&type=pdf)

- **Multiple Instance Boosting for Object Detection (NIPS 2005)**
  - Paul A. Viola, John C. Platt, Cha Zhang
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.138.8312&rep=rep1&type=pdf)

- **Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations (NIPS 2005)**
  - Aurelie C. Lozano, Sanjeev R. Kulkarni, Robert E. Schapire
  - [[Paper]](https://www.cs.princeton.edu/~schapire/papers/betamix.pdf)
  
- **Boosted decision trees for word recognition in handwritten document retrieval (SIGIR 2005)**
  - Nicholas R. Howe, Toni M. Rath, R. Manmatha
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.152.1551&rep=rep1&type=pdf)
  
- **Obtaining Calibrated Probabilities from Boosting (UAI 2005)**
  - Alexandru Niculescu-Mizil, Rich Caruana
  - [[Paper]](https://www.cs.cornell.edu/~caruana/niculescu.scldbst.crc.rev4.pdf)

## 2004

- **Online Parallel Boosting (AAAI 2004)**
  - Jesse A. Reichler, Harlan D. Harris, Michael A. Savchenko
  - [[Paper]](https://www.aaai.org/Papers/AAAI/2004/AAAI04-059.pdf)

- **A Boosting Approach to Multiple Instance Learning (ECML 2004)**
  - Peter Auer, Ronald Ortner
  - [[Paper]](https://link.springer.com/chapter/10.1007/978-3-540-30115-8_9)

- **A Boosting Algorithm for Classification of Semi-Structured Text (EMNLP 2004)**
  - Taku Kudo, Yuji Matsumoto
  - [[Paper]](https://www.aclweb.org/anthology/W04-3239)

- **Text Classification by Boosting Weak Learners based on Terms and Concepts (ICDM 2004)**
  - Stephan Bloehdorn, Andreas Hotho
  - [[Paper]](https://ieeexplore.ieee.org/document/1410303)

- **Boosting Grammatical Inference with Confidence Oracles (ICML 2004)**
  - Jean-Christophe Janodet, Richard Nock, Marc Sebban, Henri-Maxime Suchier
  - [[Paper]](http://www1.univ-ag.fr/~rnock/Articles/Drafts/icml04-jnss.pdf)

- **Surrogate Maximization/Minimization Algorithms for AdaBoost and the Logistic Regression Model (ICML 2004)**
  - Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
  - [[Paper]](https://icml.cc/Conferences/2004/proceedings/papers/77.pdf)

- **Training Conditional Random Fields via Gradient Tree Boosting (ICML 2004)**
  - Thomas G. Dietterich, Adam Ashenfelter, Yaroslav Bulatov
  - [[Paper]](http://web.engr.oregonstate.edu/~tgd/publications/ml2004-treecrf.pdf)

- **Boosting Margin Based Distance Functions for Clustering (ICML 2004)**
  - Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
  - [[Paper]](http://www.cs.huji.ac.il/~daphna/papers/distboost-icml.pdf)

- **Column-Generation Boosting Methods for Mixture of Kernels (KDD 2004)**
  - Jinbo Bi, Tong Zhang, Kristin P. Bennett
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.94.6359&rep=rep1&type=pdf)

- **Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging (NIPS 2004)**
  - Vladimir Koltchinskii, Manel Martínez-Ramón, Stefan Posse
  - [[Paper]](https://papers.nips.cc/paper/2699-optimal-aggregation-of-classifiers-and-boosting-maps-in-functional-magnetic-resonance-imaging.pdf)

- **Boosting on Manifolds: Adaptive Regularization of Base Classifiers (NIPS 2004)**
  - Balázs Kégl, Ligen Wang
  - [[Paper]](https://papers.nips.cc/paper/2613-boosting-on-manifolds-adaptive-regularization-of-base-classifiers)

- **Contextual Models for Object Detection Using Boosted Random Fields (NIPS 2004)**
  - Antonio Torralba, Kevin P. Murphy, William T. Freeman
  - [[Paper]](https://www.cs.ubc.ca/~murphyk/Papers/BRF-nips04-camera.pdf)

- **Generalization Error and Algorithmic Convergence of Median Boosting (NIPS 2004)**
  - Balázs Kégl
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.70.8990&rep=rep1&type=pdf)

- **An Application of Boosting to Graph Classification (NIPS 2004)**
  - Taku Kudo, Eisaku Maeda, Yuji Matsumoto
  - [[Paper]](https://papers.nips.cc/paper/2739-an-application-of-boosting-to-graph-classification)

- **Logistic Regression and Boosting for Labeled Bags of Instances (PAKDD 2004)**
  - Xin Xu, Eibe Frank
  - [[Paper]](https://www.cs.waikato.ac.nz/~ml/publications/2004/xu-frank.pdf)

- **Fast and Light Boosting for Adaptive Mining of Data Streams (PAKDD 2004)**
  - Fang Chu, Carlo Zaniolo
  - [[Paper]](http://web.cs.ucla.edu/~zaniolo/papers/NBCAJMW77MW0J8CP.pdf)

## 2003
- **On Boosting and the Exponential Loss (AISTATS 2003)**
  - Abraham J. Wyner
  - [[Paper]](http://www-stat.wharton.upenn.edu/~ajw/exploss.ps)

- **Boosting Support Vector Machines for Text Classification through Parameter-Free Threshold Relaxation (CIKM 2003)**
  - James G. Shanahan, Norbert Roma
  - [[Paper]](https://dl.acm.org/citation.cfm?id=956911)

- **Learning Cross-Document Structural Relationships Using Boosting (CIKM 2003)**
  - Zhu Zhang, Jahna Otterbacher, Dragomir R. Radev
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.128.7712&rep=rep1&type=pdf)
  
- **On Boosting Improvement: Error Reduction and Convergence Speed-Up (ECML 2003)**
  - Marc Sebban, Henri-Maxime Suchier
  - [[Paper]](https://link.springer.com/chapter/10.1007/978-3-540-39857-8_32)

- **Boosting Lazy Decision Trees (ICML 2003)**
  - Xiaoli Zhang Fern, Carla E. Brodley
  - [[Paper]](https://www.aaai.org/Papers/ICML/2003/ICML03-026.pdf)

- **On the Convergence of Boosting Procedures (ICML 2003)**
  - Tong Zhang, Bin Yu
  - [[Paper]](https://pdfs.semanticscholar.org/dd3f/901b232280533fbdb9e57f144f44723617cf.pdf)

- **Linear Programming Boosting for Uneven Datasets (ICML 2003)**
  - Jure Leskovec, John Shawe-Taylor
  - [[Paper]](https://cs.stanford.edu/people/jure/pubs/textbooster-icml03.pdf)

- **Monte Carlo Theory as an Explanation of Bagging and Boosting (IJCAI 2003)**
  - Roberto Esposito, Lorenza Saitta
  - [[Paper]](https://dl.acm.org/citation.cfm?id=1630733)

- **On the Dynamics of Boosting (NIPS 2003)**
  - Cynthia Rudin, Ingrid Daubechies, Robert E. Schapire
  - [[Paper]](https://papers.nips.cc/paper/2535-on-the-dynamics-of-boosting)

- **Mutual Boosting for Contextual Inference (NIPS 2003)**
  - Michael Fink, Pietro Perona
  - [[Paper]](https://papers.nips.cc/paper/2520-mutual-boosting-for-contextual-inference)

- **Boosting Versus Covering (NIPS 2003)**
  - Kohei Hatano, Manfred K. Warmuth
  - [[Paper]](https://papers.nips.cc/paper/2532-boosting-versus-covering)

- **Multiple-Instance Learning via Disjunctive Programming Boosting (NIPS 2003)**
  - Stuart Andrews, Thomas Hofmann
  - [[Paper]](https://papers.nips.cc/paper/2478-multiple-instance-learning-via-disjunctive-programming-boosting)

- **Averaged Boosting: A Noise-Robust Ensemble Method (PAKDD 2003)**
  - Yongdai Kim
  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-36175-8_38)

- **SMOTEBoost: Improving Prediction of the Minority Class in Boosting (PKDD 2003)**
  - Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O. Hall, Kevin W. Bowyer
  - [[Paper]](https://www3.nd.edu/~nchawla/papers/ECML03.pdf)

## 2002

- **Minimum Majority Classification and Boosting (AAAI 2002)**
  - Philip M. Long
  - [[Paper]](http://phillong.info/publications/minmaj.pdf)

- **Ranking Algorithms for Named Entity Extraction: Boosting and the Voted Perceptron (ACL 2002)**
  - Michael Collins
  - [[Paper]](https://www.aclweb.org/anthology/P02-1062)

- **Boosting to Correct Inductive Bias in Text Classification (CIKM 2002)**
  - Yan Liu, Yiming Yang, Jaime G. Carbonell
  - [[Paper]](https://dl.acm.org/citation.cfm?id=584792.584850)
  
- **How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code (ECML 2002)**
  - Günther Eibl, Karl Peter Pfeiffer
  - [[Paper]](https://dl.acm.org/citation.cfm?id=650068)

- **Scaling Boosting by Margin-Based Inclusionof Features and Relations (ECML 2002)**
  - Susanne Hoche, Stefan Wrobel
  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-36755-1_13)

- **A Robust Boosting Algorithm (ECML 2002)**
  - Richard Nock, Patrice Lefaucheur
  - [[Paper]](https://dl.acm.org/citation.cfm?id=650081)

- **iBoost: Boosting Using an instance-Based Exponential Weighting Scheme (ECML 2002)**
  - Stephen Kwek, Chau Nguyen
  - [[Paper]](https://www.researchgate.net/publication/220516082_iBoost_Boosting_using_an_instance-based_exponential_weighting_scheme)

- **Boosting Density Function Estimators (ECML 2002)**
  - Franck Thollard, Marc Sebban, Philippe Ézéquel
  - [[Paper]](https://link.springer.com/chapter/10.1007%2F3-540-36755-1_36)
  
- **Statistical Behavior and Consistency of Support Vector Machines, Boosting, and Beyond (ICML 2002)**
  - Tong Zhang
  - [[Paper]](https://www.researchgate.net/publication/221344927_Statistical_Behavior_and_Consistency_of_Support_Vector_Machines_Boosting_and_Beyond)

- **A Boosted Maximum Entropy Model for Learning Text Chunking (ICML 2002)**
  - Seong-Bae Park, Byoung-Tak Zhang
  - [[Paper]](https://www.researchgate.net/publication/221345636_A_Boosted_Maximum_Entropy_Model_for_Learning_Text_Chunking)

- **Towards Large Margin Speech Recognizers by Boosting and Discriminative Training (ICML 2002)**
  - Carsten Meyer, Peter Beyerlein
  - [[Paper]](https://www.semanticscholar.org/paper/Towards-Large-Margin-Speech-Recognizers-by-Boosting-Meyer-Beyerlein/8408479e36da812cdbf6bc15f7849c3e76a1016d)

- **Incorporating Prior Knowledge into Boosting (ICML 2002)**
  - Robert E. Schapire, Marie Rochery, Mazin G. Rahim, Narendra K. Gupta
  - [[Paper]](http://rob.schapire.net/papers/boostknowledge.pdf)

- **Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation (ICML 2002)**
  - Robert E. Schapire, Peter Stone, David A. McAllester, Michael L. Littman, János A. Csirik
  - [[Paper]](http://www.cs.utexas.edu/~ai-lab/pubs/ICML02-tac.pdf)

- **MARK: A Boosting Algorithm for Heterogeneous Kernel Models (KDD 2002)**
  - Kristin P. Bennett, Michinari Momma, Mark J. Embrechts
  - [[Paper]](http://homepages.rpiscrews.us/~bennek/papers/kdd2.pdf)

- **Predicting rare classes: can boosting make any weak learner strong (KDD 2002)**
  - Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.13.1159&rep=rep1&type=pdf)

- **Kernel Design Using Boosting (NIPS 2002)**
  - Koby Crammer, Joseph Keshet, Yoram Singer
  - [[Paper]](https://pdfs.semanticscholar.org/ff79/344807e972fdd7e5e1c3ed5c539dd1aeecbe.pdf)

- **FloatBoost Learning for Classification (NIPS 2002)**
  - Stan Z. Li, ZhenQiu Zhang, Heung-Yeung Shum, HongJiang Zhang
  - [[Paper]](https://pdfs.semanticscholar.org/8ccc/5ef87eab96a4cae226750eba8322b30606ea.pdf)

- **Discriminative Learning for Label Sequences via Boosting (NIPS 2002)**
  - Yasemin Altun, Thomas Hofmann, Mark Johnson
  - [[Paper]](http://web.science.mq.edu.au/~mjohnson/papers/nips02.pdf)

- **Boosting Density Estimation (NIPS 2002)**
  - Saharon Rosset, Eran Segal
  - [[Paper]](https://papers.nips.cc/paper/2298-boosting-density-estimation.pdf)

- **Self Supervised Boosting (NIPS 2002)**
  - Max Welling, Richard S. Zemel, Geoffrey E. Hinton
  - [[Paper]](https://pdfs.semanticscholar.org/6a2a/f112a803e70c23b7055de2e73007cf42c301.pdf)

- **Boosted Dyadic Kernel Discriminants (NIPS 2002)**
  - Baback Moghaddam, Gregory Shakhnarovich
  - [[Paper]](http://www.merl.com/publications/docs/TR2002-55.pdf)
  
- **A Method to Boost Support Vector Machines (PAKDD 2002)**
  - Lili Diao, Keyun Hu, Yuchang Lu, Chunyi Shi
  - [[Paper]](https://elkingarcia.github.io/Papers/MLDM07.pdf)

- **A Method to Boost Naive Bayesian Classifiers (PAKDD 2002)**
  - Lili Diao, Keyun Hu, Yuchang Lu, Chunyi Shi
  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-47887-6_11)

- **Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting (PKDD 2002)**
  - Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar
  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-45681-3_20)

- **Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance (PKDD 2002)**
  - Yuta Choki, Einoshin Suzuki
  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-45681-3_8)

- **Staged Mixture Modelling and Boosting (UAI 2002)**
  - Christopher Meek, Bo Thiesson, David Heckerman
  - [[Paper]](https://arxiv.org/abs/1301.0586)

- **Advances in Boosting (UAI 2002)**
  - Robert E. Schapire
  - [[Paper]](http://rob.schapire.net/papers/uai02.pdf)

## 2001
- **Is Regularization Unnecessary for Boosting? (AISTATS 2001)**
  - Wenxin Jiang
  - [[Paper]](https://www.researchgate.net/publication/2439718_Is_Regularization_Unnecessary_for_Boosting)

- **Online Bagging and Boosting (AISTATS 2001)**
  - Nikunj C. Oza, Stuart J. Russell
  - [[Paper]](https://ti.arc.nasa.gov/m/profile/oza/files/ozru01a.pdf)
  
- **Text Categorization Using Transductive Boosting (ECML 2001)**
  - Hirotoshi Taira, Masahiko Haruno
  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-44795-4_39)

- **Improving Term Extraction by System Combination Using Boosting (ECML 2001)**
  - Jordi Vivaldi, Lluís Màrquez, Horacio Rodríguez
  - [[Paper]](https://dl.acm.org/citation.cfm?id=3108351)

- **Analysis of the Performance of AdaBoost.M2 for the Simulated Digit-Recognition-Example (ECML 2001)**
  - Günther Eibl, Karl Peter Pfeiffer
  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-44795-4_10)

- **On the Practice of Branching Program Boosting (ECML 2001)**
  - Tapio Elomaa, Matti Kääriäinen
  - [[Paper]](https://www.researchgate.net/publication/221112522_On_the_Practice_of_Branching_Program_Boosting)

- **Boosting Mixture Models for Semi-supervised Learning (ICANN 2001)**
  - Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise
  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-44668-0_7

- **A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods (ICDM 2001)**
  - Bernard Zenko, Ljupco Todorovski, Saso Dzeroski
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.23.3118&rep=rep1&type=pdf)

- **Using Boosting to Simplify Classification Models (ICDM 2001)**
  - Virginia Wheway
  - [[Paper]](https://ieeexplore.ieee.org/abstract/document/989565)

- **Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements (ICDM 2001)**
  - Mahesh V. Joshi, Vipin Kumar, Ramesh C. Agarwal
  - [[Paper]](https://pdfs.semanticscholar.org/b829/fe743e4beeeed65d32d2d7931354df7a2f60.pdf)
  - [[Code]]( )

- **Boosting Neighborhood-Based Classifiers (ICML 2001)**
  - Marc Sebban, Richard Nock, Stéphane Lallich
  - [[Paper]](https://www.semanticscholar.org/paper/Boosting-Neighborhood-Based-Classifiers-Sebban-Nock/ee88e3bbe8a7e81cae7ee53da2c824de7c82f882)

- **Boosting Noisy Data (ICML 2001)**
  - Abba Krieger, Chuan Long, Abraham J. Wyner
  - [[Paper]](https://www.researchgate.net/profile/Abba_Krieger/publication/221345435_Boosting_Noisy_Data/links/00463528a1ba641692000000.pdf)

- **Some Theoretical Aspects of Boosting in the Presence of Noisy Data (ICML 2001)**
  - Wenxin Jiang
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=2494A2C06ACA22FA971AC1C29B53FF62?doi=10.1.1.27.7231&rep=rep1&type=pdf)

- **Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection (ICML 2001)**
  - Sanmay Das
  - [[Paper]](https://pdfs.semanticscholar.org/93b6/25a0e35b59fa6a3e7dc1cbdb31268d62d69f.pdf)

- **The Distributed Boosting Algorithm (KDD 2001)**
  - Aleksandar Lazarevic, Zoran Obradovic
  - [[Paper]](https://www.researchgate.net/publication/2488971_The_Distributed_Boosting_Algorithm)

- **Experimental Comparisons of Online and Batch Versions of Bagging and Boosting (KDD 2001)**
  - Nikunj C. Oza, Stuart J. Russell
  - [[Paper]](https://people.eecs.berkeley.edu/~russell/papers/kdd01-online.pdf)

- **Semi-supervised MarginBoost (NIPS 2001)**
  - Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise
  - [[Paper]](https://pdfs.semanticscholar.org/2197/f1c2d55827b6928cc80030922569acce2d6c.pdf)

- **Boosting and Maximum Likelihood for Exponential Models (NIPS 2001)**
  - Guy Lebanon, John D. Lafferty
  - [[Paper]](https://papers.nips.cc/paper/2042-boosting-and-maximum-likelihood-for-exponential-models.pdf)

- **Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade (NIPS 2001)**
  - Paul A. Viola, Michael J. Jones
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.68.4306&rep=rep1&type=pdf)
  
- **Boosting Localized Classifiers in Heterogeneous Databases (SDM 2001)**
  - Aleksandar Lazarevic, Zoran Obradovic
  - [[Paper]](https://epubs.siam.org/doi/abs/10.1137/1.9781611972719.14)

## 2000
- **Boosted Wrapper Induction (AAAI 2000)**
  - Dayne Freitag, Nicholas Kushmerick
  - [[Paper]](https://pdfs.semanticscholar.org/d009/a2bd48a9d1971fbc0d99f6df00539a62048a.pdf)

- **An Improved Boosting Algorithm and its Application to Text Categorization (CIKM 2000)**
  - Fabrizio Sebastiani, Alessandro Sperduti, Nicola Valdambrini
  - [[Paper]](http://nmis.isti.cnr.it/sebastiani/Publications/CIKM00.pdf)

- **Boosting for Document Routing (CIKM 2000)**
  - Raj D. Iyer, David D. Lewis, Robert E. Schapire, Yoram Singer, Amit Singhal
  - [[Paper]](http://singhal.info/cikm-2000.pdf)

- **On the Boosting Pruning Problem (ECML 2000)**
  - Christino Tamon, Jie Xiang
  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-45164-1_41)

- **Boosting Applied to Word Sense Disambiguation (ECML 2000)**
  - Gerard Escudero, Lluís Màrquez, German Rigau
  - [[Paper]](https://dl.acm.org/citation.cfm?id=649539)

- **An Empirical Study of MetaCost Using Boosting Algorithms (ECML 2000)**
  - Kai Ming Ting
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.218.1624&rep=rep1&type=pdf)

- **FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness (ICML 2000)**
  - Joseph O'Sullivan, John Langford, Rich Caruana, Avrim Blum
  - [[Paper]](https://www.researchgate.net/publication/221345746_FeatureBoost_A_Meta-Learning_Algorithm_that_Improves_Model_Robustness)

- **Comparing the Minimum Description Length Principle and Boosting in the Automatic Analysis of Discourse (ICML 2000)**
  - Tadashi Nomoto, Yuji Matsumoto
  - [[Paper]](https://www.researchgate.net/publication/221344998_Comparing_the_Minimum_Description_Length_Principle_and_Boosting_in_the_Automatic_Analysis_of_Discourse)

- **A Boosting Approach to Topic Spotting on Subdialogues (ICML 2000)**
  - Kary Myers, Michael J. Kearns, Satinder P. Singh, Marilyn A. Walker
  - [[Paper]](https://www.cis.upenn.edu/~mkearns/papers/topicspot.pdf)

- **A Comparative Study of Cost-Sensitive Boosting Algorithms (ICML 2000)**
  - Kai Ming Ting
  - [[Paper]](https://dl.acm.org/citation.cfm?id=657944)

- **Boosting a Positive-Data-Only Learner (ICML 2000)**
  - Andrew R. Mitchell
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.3669)

- **A Column Generation Algorithm For Boosting (ICML 2000)**
  - Kristin P. Bennett, Ayhan Demiriz, John Shawe-Taylor
  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=1828D5853F656BD6892E9C2C446ECC68?doi=10.1.1.16.9612&rep=rep1&type=pdf)

- **A Gradient-Based Boosting Algorithm for Regression Problems (NIPS 2000)**
  - Richard S. Zemel, Toniann Pitassi
  - [[Paper]](https://pdfs.semanticscholar.org/c41a/9417f5605b55bdd216d119e47669a92f5c50.pdf)

- **Weak Learners and Improved Rates of Convergence in Boosting (NIPS 2000)**
  - Shie Mannor, Ron Meir
  - [[Paper]](https://papers.nips.cc/paper/1906-weak-learners-and-improved-rates-of-convergence-in-boosting.pdf)

- **Adaptive Boosting for Spatial Functions with Unstable Driving Attributes (PAKDD 2000)**
  - Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
  - [[Paper]](http://www.dabi.temple.edu/~zoran/papers/lazarevic01j.pdf)

- **Scaling Up a Boosting-Based Learner via Adaptive Sampling (PAKDD 2000)**
  - Carlos Domingo, Osamu Watanabe
  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-45571-X_37)

- **Learning First Order Logic Time Series Classifiers: Rules and Boosting (PKDD 2000)**
  - Juan J. Rodríguez Diez, Carlos Alonso González, Henrik Boström
  - [[Paper]](https://people.dsv.su.se/~henke/papers/rodriguez00b.pdf)

- **Bagging and Boosting with Dynamic Integration of Classifiers (PKDD 2000)**
  - Alexey Tsymbal, Seppo Puuronen
  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-45372-5_12)

- **Text Filtering by Boosting Naive Bayes Classifiers (SIGIR 2000)**
  - Yu-Hwan Kim, Shang-Yoon Hahn, Byoung-Tak Zhang
  - [[Paper]](https://www.researchgate.net/publication/221299823_Text_filtering_by_boosting_Naive_Bayes_classifiers)

## 1999
- **Boosting Methodology for Regression Problems (AISTATS 1999)**
  - Greg Ridgeway, David Madigan, Thomas Richardson
  - [[Paper]](https://pdfs.semanticscholar.org/5f19/6a8baa281b2190c4519305bec8f5c91c8e5a.pdf)

- **Boosting Applied to Tagging and PP Attachment (EMNLP 1999)**
  - Steven Abney, Robert E. Schapire, Yoram Singer
  - [[Paper]](https://www.aclweb.org/anthology/W99-0606)

- **Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees (ICML 1999)**
  - Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
  - [[Paper]](https://pdfs.semanticscholar.org/067e/86836ddbcb5e2844e955c16e058366a18c77.pdf)

- **AdaCost: Misclassification Cost-Sensitive Boosting (ICML 1999)**
  - Wei Fan, Salvatore J. Stolfo, Junxin Zhang, Philip K. Chan
  - [[Paper]](https://pdfs.semanticscholar.org/9ddf/bc2cc5c1b13b80a1a487b9caa57e80edd863.pdf)

- **Boosting a Strong Learner: Evidence Against the Minimum Margin (ICML 1999)**
  - Michael Bonnell Harries
  - [[Paper]](https://dl.acm.org/citation.cfm?id=657480)

- **Boosting Algorithms as Gradient Descent (NIPS 1999)**
  - Llew Mason, Jonathan Baxter, Peter L. Bartlett, Marcus R. Frean
  - [[Paper]](https://papers.nips.cc/paper/1766-boosting-algorithms-as-gradient-descent.pdf)

- **Boosting with Multi-Way Branching in Decision Trees (NIPS 1999)**
  - Yishay Mansour, David A. McAllester
  - [[Paper]](https://papers.nips.cc/paper/1659-boosting-with-multi-way-branching-in-decision-trees.pdf)

- **Potential Boosters (NIPS 1999)**
  - Nigel Duffy, David P. Helmbold
  - [[Paper]](https://pdfs.semanticscholar.org/4884/c765b6ceab7bdfb6703489810c8a386fd2a8.pdf)

## 1998
- **An Efficient Boosting Algorithm for Combining Preferences (ICML 1998)**
  - Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer
  - [[Paper]](http://jmlr.csail.mit.edu/papers/volume4/freund03a/freund03a.pdf)

- **Query Learning Strategies Using Boosting and Bagging (ICML 1998)**
  - Naoki Abe, Hiroshi Mamitsuka
  - [[Paper]](https://www.bic.kyoto-u.ac.jp/pathway/mami/pubs/Files/icml98.pdf)

- **Regularizing AdaBoost (NIPS 1998)**
  - Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller
  - [[Paper]](https://pdfs.semanticscholar.org/0afc/9de245547c675d40ad29240e2788c0416f91.pdf)

## 1997
- **Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods (ICML 1997)**
  - Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee
  - [[Paper]](https://www.cc.gatech.edu/~isbell/tutorials/boostingmargins.pdf)

- **Using Output Codes to Boost Multiclass Learning Problems (ICML 1997)**
  - Robert E. Schapire
  - [[Paper]](http://rob.schapire.net/papers/Schapire97.pdf)

- **Improving Regressors Using Boosting Techniques (ICML 1997)**
  - Harris Drucker
  - [[Paper]](https://pdfs.semanticscholar.org/8d49/e2dedb817f2c3330e74b63c5fc86d2399ce3.pdf)

- **Pruning Adaptive Boosting (ICML 1997)**
  - Dragos D. Margineantu, Thomas G. Dietterich
  - [[Paper]](https://pdfs.semanticscholar.org/b25f/615fc139fbdeccc3bcf4462f908d7f8e37f9.pdf)

- **Training Methods for Adaptive Boosting of Neural Networks (NIPS 1997)**
  - Holger Schwenk, Yoshua Bengio
  - [[Paper]](https://papers.nips.cc/paper/1335-training-methods-for-adaptive-boosting-of-neural-networks.pdf)

## 1996
- **Experiments with a New Boosting Algorithm (ICML 1996)**
  - Yoav Freund, Robert E. Schapire
  - [[Paper]](https://cseweb.ucsd.edu/~yfreund/papers/boostingexperiments.pdf)

## 1995
- **Boosting Decision Trees (NIPS 1995)**
  - Harris Drucker, Corinna Cortes
  - [[Paper]](https://papers.nips.cc/paper/1059-boosting-decision-trees.pdf)

## 1994
- **Boosting and Other Machine Learning Algorithms (ICML 1994)**
  - Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik
  - [[Paper]](https://www.sciencedirect.com/science/article/pii/B9781558603356500155)