% csauthors.net - beta - BibTeX bibliography of Tianbao Yang
@inproceedings{conf/kdd/YangJCZ09,
title = {Combining link and content for community detection: a discriminative approach.},
year = {2009},
booktitle = {KDD},
author = {{Tianbao Yang} and {Rong Jin 001} and {Yun Chi} and {Shenghuo Zhu}},
publisher = {ACM},
booktitle = {Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009}
}
@inproceedings{conf/sdm/YangCZGJ09,
title = {A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.},
year = {2009},
booktitle = {SDM},
author = {{Tianbao Yang} and {Yun Chi} and {Shenghuo Zhu} and {Yihong Gong} and {Rong Jin 001}},
publisher = {SIAM},
booktitle = {Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA}
}
@inproceedings{conf/uai/YangJCZ09,
title = {A Bayesian Framework for Community Detection Integrating Content and Link.},
year = {2009},
booktitle = {UAI},
author = {{Tianbao Yang} and {Rong Jin 001} and {Yun Chi} and {Shenghuo Zhu}},
publisher = {AUAI Press},
booktitle = {UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009}
}
@inproceedings{conf/alt/JinHY10,
title = {Online Multiple Kernel Learning: Algorithms and Mistake Bounds.},
year = {2010},
booktitle = {ALT},
author = {{Rong Jin 001} and {Steven C. H. Hoi} and {Tianbao Yang}},
publisher = {Springer},
booktitle = {Algorithmic Learning Theory, 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings}
}
@inproceedings{conf/icml/YangJJ10,
title = {Learning from Noisy Side Information by Generalized Maximum Entropy Model.},
year = {2010},
booktitle = {ICML},
author = {{Tianbao Yang} and {Rong Jin 001} and {Anil K. Jain 001}},
publisher = {Omnipress},
booktitle = {Proceedings of the 27th International Conference on Machine Learning (ICML-10), June 21-24, 2010, Haifa, Israel}
}
@inproceedings{conf/kdd/YangJJZT10,
title = {Unsupervised transfer classification: application to text categorization.},
year = {2010},
booktitle = {KDD},
author = {{Tianbao Yang} and {Rong Jin 001} and {Anil K. Jain 001} and {Yang Zhou 033} and {Wei Tong}},
publisher = {ACM},
booktitle = {Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010}
}
@inproceedings{conf/sdm/YangCZGJ10,
title = {Directed Network Community Detection: A Popularity and Productivity Link Model.},
year = {2010},
booktitle = {SDM},
author = {{Tianbao Yang} and {Yun Chi} and {Shenghuo Zhu} and {Yihong Gong} and {Rong Jin 001}},
publisher = {SIAM},
booktitle = {Proceedings of the SIAM International Conference on Data Mining, SDM 2010, April 29 - May 1, 2010, Columbus, Ohio, USA}
}
@inproceedings{conf/icml/ZhaoHJY11,
title = {Online AUC Maximization.},
year = {2011},
booktitle = {ICML},
author = {{Peilin Zhao} and {Steven C. H. Hoi} and {Rong Jin 001} and {Tianbao Yang}},
publisher = {Omnipress},
booktitle = {Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011}
}
@inproceedings{conf/mir/TongLYJJ11,
title = {A kernel density based approach for large scale image retrieval.},
year = {2011},
booktitle = {ICMR},
author = {{Wei Tong} and {Fengjie Li} and {Tianbao Yang} and {Rong Jin 001} and {Anil K. Jain 001}},
publisher = {ACM},
booktitle = {Proceedings of the 1st International Conference on Multimedia Retrieval, ICMR 2011, Trento, Italy, April 18 - 20, 2011}
}
@article{journals/corr/abs-1111-2262,
title = {Improved Bound for the Nystrom's Method and its Application to Kernel Classification},
year = {2011},
journal = {CoRR},
author = {{Rong Jin 001} and {Tianbao Yang} and {Mehrdad Mahdavi}}
}
@article{journals/corr/abs-1111-6337,
title = {Regret Bound by Variation for Online Convex Optimization},
year = {2011},
journal = {CoRR},
author = {{Tianbao Yang} and {Rong Jin 001} and {Mehrdad Mahdavi}}
}
@article{journals/ml/YangCZGJ11,
title = {Detecting communities and their evolutions in dynamic social networks - a Bayesian approach.},
year = {2011},
journal = {Mach. Learn.},
author = {{Tianbao Yang} and {Yun Chi} and {Shenghuo Zhu} and {Yihong Gong} and {Rong Jin 001}}
}
@inproceedings{conf/aaai/YangMJYH12,
title = {Online Kernel Selection: Algorithms and Evaluations.},
year = {2012},
booktitle = {AAAI},
author = {{Tianbao Yang} and {Mehrdad Mahdavi} and {Rong Jin 001} and {Jinfeng Yi} and {Steven C. H. Hoi}},
publisher = {AAAI Press},
booktitle = {Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada.}
}
@inproceedings{conf/icdm/YiYJJM12,
title = {Robust Ensemble Clustering by Matrix Completion.},
year = {2012},
booktitle = {ICDM},
author = {{Jinfeng Yi} and {Tianbao Yang} and {Rong Jin 001} and {Anil K. Jain 001} and {Mehrdad Mahdavi}},
publisher = {IEEE Computer Society},
booktitle = {12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012}
}
@inproceedings{conf/icml/JiYLJH12,
title = {A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound.},
year = {2012},
booktitle = {ICML},
author = {{Ming Ji} and {Tianbao Yang} and {Binbin Lin} and {Rong Jin 001} and {Jiawei Han 001}},
publisher = {icml.cc / Omnipress},
booktitle = {Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012}
}
@inproceedings{conf/icml/YangMJZZ12,
title = {Multiple Kernel Learning from Noisy Labels by Stochastic Programming.},
year = {2012},
booktitle = {ICML},
author = {{Tianbao Yang} and {Mehrdad Mahdavi} and {Rong Jin 001} and {Lijun Zhang 005} and {Yang Zhou 033}},
publisher = {icml.cc / Omnipress},
booktitle = {Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012}
}
@inproceedings{conf/nips/MahdaviYJZY12,
title = {Stochastic Gradient Descent with Only One Projection.},
year = {2012},
booktitle = {NIPS},
author = {{Mehrdad Mahdavi} and {Tianbao Yang} and {Rong Jin 001} and {Shenghuo Zhu} and {Jinfeng Yi}},
booktitle = {Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States.}
}
@inproceedings{conf/nips/YangLMJZ12,
title = {Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison.},
year = {2012},
booktitle = {NIPS},
author = {{Tianbao Yang} and {Yu-Feng Li} and {Mehrdad Mahdavi} and {Rong Jin 001} and {Zhi-Hua Zhou}},
booktitle = {Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States.}
}
@inproceedings{conf/nips/YiJJJY12,
title = {Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning.},
year = {2012},
booktitle = {NIPS},
author = {{Jinfeng Yi} and {Rong Jin 001} and {Anil K. Jain 001} and {Shaili Jain} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States.}
}
@inproceedings{conf/ssp/YangJJ12,
title = {Learning kernel combination from noisy pairwise constraints.},
year = {2012},
booktitle = {SSP},
author = {{Tianbao Yang} and {Rong Jin 001} and {Anil K. Jain 001}},
publisher = {IEEE},
booktitle = {IEEE Statistical Signal Processing Workshop, SSP 2012, Ann Arbor, MI, USA, August 5-8, 2012}
}
@article{journals/corr/abs-1205-2265,
title = {Efficient Constrained Regret Minimization},
year = {2012},
journal = {CoRR},
author = {{Mehrdad Mahdavi} and {Tianbao Yang} and {Rong Jin 001}}
}
@article{journals/corr/abs-1209-0001,
title = {An Improved Bound for the Nystrom Method for Large Eigengap},
year = {2012},
journal = {CoRR},
author = {{Mehrdad Mahdavi} and {Tianbao Yang} and {Rong Jin 001}}
}
@article{journals/corr/abs-1211-3046,
title = {Recovering Optimal Solution by Dual Random Projection},
year = {2012},
journal = {CoRR},
author = {{Lijun Zhang 005} and {Mehrdad Mahdavi} and {Rong Jin 001} and {Tianbao Yang}}
}
@article{journals/corr/abs-1211-6013,
title = {Online Stochastic Optimization with Multiple Objectives},
year = {2012},
journal = {CoRR},
author = {{Mehrdad Mahdavi} and {Tianbao Yang} and {Rong Jin 001}}
}
@article{journals/corr/abs-1212-5863,
title = {Influence Analysis in the Blogosphere},
year = {2012},
journal = {CoRR},
author = {{Michinari Momma} and {Yun Chi} and {Yuanqing Lin} and {Shenghuo Zhu} and {Tianbao Yang}}
}
@inproceedings{journals/jmlr/ChiangYLMLJZ12,
title = {Online Optimization with Gradual Variations.},
year = {2012},
booktitle = {COLT},
author = {{Chao-Kai Chiang} and {Tianbao Yang} and {Chia-Jung Lee} and {Mehrdad Mahdavi} and {Chi-Jen Lu} and {Rong Jin 001} and {Shenghuo Zhu}},
publisher = {JMLR.org},
booktitle = {COLT 2012 - The 25th Annual Conference on Learning Theory, June 25-27, 2012, Edinburgh, Scotland}
}
@article{journals/jmlr/MahdaviJY12,
title = {Trading regret for efficiency: online convex optimization with long term constraints.},
year = {2012},
journal = {J. Mach. Learn. Res.},
author = {{Mehrdad Mahdavi} and {Rong Jin 001} and {Tianbao Yang}}
}
@inproceedings{conf/asunam/YangCX13,
title = {Community detection by popularity based models for authored networked data.},
year = {2013},
booktitle = {ASONAM},
author = {{Tianbao Yang} and {Prakash Mandayam Comar} and {Linli Xu}},
publisher = {ACM},
booktitle = {Advances in Social Networks Analysis and Mining 2013, ASONAM '13, Niagara, ON, Canada - August 25 - 29, 2013}
}
@inproceedings{conf/colt/ZhangMJYZ13,
title = {Recovering the Optimal Solution by Dual Random Projection.},
year = {2013},
booktitle = {COLT},
author = {{Lijun Zhang 005} and {Mehrdad Mahdavi} and {Rong Jin 001} and {Tianbao Yang} and {Shenghuo Zhu}},
publisher = {JMLR.org},
booktitle = {COLT 2013 - The 26th Annual Conference on Learning Theory, June 12-14, 2013, Princeton University, NJ, USA}
}
@inproceedings{conf/icml/ZhangYJH13,
title = {O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions.},
year = {2013},
booktitle = {ICML (3)},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001} and {Xiaofei He 001}},
publisher = {JMLR.org},
booktitle = {Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013}
}
@inproceedings{conf/mcs/YangWB13,
title = {A Directed Inference Approach towards Multi-class Multi-model Fusion.},
year = {2013},
booktitle = {MCS},
author = {{Tianbao Yang} and {Lei Wu} and {Piero P. Bonissone}},
publisher = {Springer},
booktitle = {Multiple Classifier Systems, 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings}
}
@inproceedings{conf/nips/MahdaviYJ13,
title = {Stochastic Convex Optimization with Multiple Objectives.},
year = {2013},
booktitle = {NIPS},
author = {{Mehrdad Mahdavi} and {Tianbao Yang} and {Rong Jin 001}},
booktitle = {Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States.}
}
@inproceedings{conf/nips/Yang13,
title = {Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent.},
year = {2013},
booktitle = {NIPS},
author = {{Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States.}
}
@article{journals/corr/YangZJL13,
title = {On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent.},
year = {2013},
journal = {CoRR},
author = {{Tianbao Yang} and {Shenghuo Zhu} and {Rong Jin 001} and {Yuanqing Lin}}
}
@article{journals/corr/abs-1302-0315,
title = {Sparse Multiple Kernel Learning with Geometric Convergence Rate},
year = {2013},
journal = {CoRR},
author = {{Rong Jin 001} and {Tianbao Yang} and {Mehrdad Mahdavi}}
}
@article{journals/corr/abs-1304-4680,
title = {A New Analysis of Compressive Sensing by Stochastic Proximal Gradient Descent},
year = {2013},
journal = {CoRR},
author = {{Rong Jin 001} and {Tianbao Yang} and {Shenghuo Zhu}}
}
@article{journals/corr/abs-1304-5504,
title = {Efficient Stochastic Gradient Descent for Strongly Convex Optimization},
year = {2013},
journal = {CoRR},
author = {{Tianbao Yang} and {Lijun Zhang 005}}
}
@article{journals/ml/HoiJZY13,
title = {Online Multiple Kernel Classification.},
year = {2013},
journal = {Mach. Learn.},
author = {{Steven C. H. Hoi} and {Rong Jin 001} and {Peilin Zhao} and {Tianbao Yang}}
}
@article{journals/tit/JinYMLZ13,
title = {Improved Bounds for the Nyström Method With Application to Kernel Classification.},
year = {2013},
journal = {IEEE Trans. Inf. Theory},
author = {{Rong Jin 001} and {Tianbao Yang} and {Mehrdad Mahdavi} and {Yu-Feng Li} and {Zhi-Hua Zhou}}
}
@inproceedings{conf/aistats/ChenYZ14,
title = {Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs.},
year = {2014},
booktitle = {AISTATS},
author = {{Jianhui Chen} and {Tianbao Yang} and {Shenghuo Zhu}},
publisher = {JMLR.org},
booktitle = {Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, AISTATS 2014, Reykjavik, Iceland, April 22-25, 2014}
}
@inproceedings{conf/nips/YangJ14,
title = {Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities.},
year = {2014},
booktitle = {NIPS},
author = {{Tianbao Yang} and {Rong Jin 001}},
booktitle = {Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada}
}
@article{journals/corr/WangYCL14,
title = {Object-centric Sampling for Fine-grained Image Classification.},
year = {2014},
journal = {CoRR},
author = {{Xiaoyu Wang} and {Tianbao Yang} and {Guobin Chen} and {Yuanqing Lin}}
}
@article{journals/corr/Yang0JZ14,
title = {A Simple Homotopy Proximal Mapping for Compressive Sensing.},
year = {2014},
journal = {CoRR},
author = {{Tianbao Yang} and {Lijun Zhang 005} and {Rong Jin 001} and {Shenghuo Zhu}}
}
@article{journals/corr/YangJZ14,
title = {On Data Preconditioning for Regularized Loss Minimization.},
year = {2014},
journal = {CoRR},
author = {{Tianbao Yang} and {Rong Jin 001} and {Shenghuo Zhu}}
}
@article{journals/ml/YangMJZ14,
title = {Regret bounded by gradual variation for online convex optimization.},
year = {2014},
journal = {Mach. Learn.},
author = {{Tianbao Yang} and {Mehrdad Mahdavi} and {Rong Jin 001} and {Shenghuo Zhu}}
}
@article{journals/tit/0005MJYZ14,
title = {Random Projections for Classification: A Recovery Approach.},
year = {2014},
journal = {IEEE Trans. Inf. Theory},
author = {{Lijun Zhang 005} and {Mehrdad Mahdavi} and {Rong Jin 001} and {Tianbao Yang} and {Shenghuo Zhu}}
}
@incollection{reference/snam/YangJCZ14,
title = {Combining Link and Content for Community Detection.},
year = {2014},
booktitle = {Encyclopedia of Social Network Analysis and Mining},
author = {{Tianbao Yang} and {Rong Jin 001} and {Yun Chi} and {Shenghuo Zhu}}
}
@inproceedings{conf/aaai/0005YJZ15,
title = {Online Bandit Learning for a Special Class of Non-Convex Losses.},
year = {2015},
booktitle = {AAAI},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001} and {Zhi-Hua Zhou}},
publisher = {AAAI Press},
booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA.}
}
@inproceedings{conf/aistats/0005YJZ15,
title = {A Simple Homotopy Algorithm for Compressive Sensing.},
year = {2015},
booktitle = {AISTATS},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001} and {Zhi-Hua Zhou}},
publisher = {JMLR.org},
booktitle = {Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015}
}
@inproceedings{conf/cvpr/XieYWL15,
title = {Hyper-class augmented and regularized deep learning for fine-grained image classification.},
year = {2015},
booktitle = {CVPR},
author = {{Saining Xie} and {Tianbao Yang} and {Xiaoyu Wang 002} and {Yuanqing Lin}},
publisher = {IEEE Computer Society},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7-12, 2015}
}
@inproceedings{conf/ichi/HasanBCWY15,
title = {In-Situ Measurement and Prediction of Hearing Aid Outcomes Using Mobile Phones.},
year = {2015},
booktitle = {ICHI},
author = {{Syed Shabih Hasan} and {Ryan Brummet} and {Octav Chipara} and {Yu-Hsiang Wu} and {Tianbao Yang}},
publisher = {IEEE Computer Society},
booktitle = {2015 International Conference on Healthcare Informatics, ICHI 2015, Dallas, TX, USA, October 21-23, 2015}
}
@inproceedings{conf/icml/Yang0JZ15,
title = {An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection.},
year = {2015},
booktitle = {ICML},
author = {{Tianbao Yang} and {Lijun Zhang 005} and {Rong Jin 001} and {Shenghuo Zhu}},
publisher = {JMLR.org},
booktitle = {Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015}
}
@inproceedings{conf/icml/Yang0JZ15a,
title = {Theory of Dual-sparse Regularized Randomized Reduction.},
year = {2015},
booktitle = {ICML},
author = {{Tianbao Yang} and {Lijun Zhang 005} and {Rong Jin 001} and {Shenghuo Zhu}},
publisher = {JMLR.org},
booktitle = {Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015}
}
@inproceedings{conf/kdd/YangLJ15,
title = {Big Data Analytics: Optimization and Randomization.},
year = {2015},
booktitle = {KDD},
author = {{Tianbao Yang} and {Qihang Lin} and {Rong Jin 001}},
publisher = {ACM},
booktitle = {Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015}
}
@inproceedings{conf/kdd/Yi0YLW15,
title = {An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints.},
year = {2015},
booktitle = {KDD},
author = {{Jinfeng Yi} and {Lijun Zhang 005} and {Tianbao Yang} and {Wei Liu 005} and {Jun Wang 006}},
publisher = {ACM},
booktitle = {Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015}
}
@article{journals/corr/0005YJZ15,
title = {Analysis of Nuclear Norm Regularization for Full-rank Matrix Completion.},
year = {2015},
journal = {CoRR},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001} and {Zhi-Hua Zhou}}
}
@article{journals/corr/0005YJZ15a,
title = {Online Stochastic Linear Optimization under One-bit Feedback.},
year = {2015},
journal = {CoRR},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001} and {Zhi-Hua Zhou}}
}
@article{journals/corr/0005YJZ15b,
title = {Stochastic Proximal Gradient Descent for Nuclear Norm Regularization.},
year = {2015},
journal = {CoRR},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001} and {Zhi-Hua Zhou}}
}
@article{journals/corr/Yang0LJ15,
title = {Fast Sparse Least-Squares Regression with Non-Asymptotic Guarantees.},
year = {2015},
journal = {CoRR},
author = {{Tianbao Yang} and {Lijun Zhang 005} and {Qihang Lin} and {Rong Jin 001}}
}
@article{journals/corr/YuLY15,
title = {Doubly Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization with Factorized Data.},
year = {2015},
journal = {CoRR},
author = {{Adams Wei Yu} and {Qihang Lin} and {Tianbao Yang}}
}
@article{journals/ml/YangMJZ15,
title = {An efficient primal dual prox method for non-smooth optimization.},
year = {2015},
journal = {Mach. Learn.},
author = {{Tianbao Yang} and {Mehrdad Mahdavi} and {Rong Jin 001} and {Shenghuo Zhu}}
}
@inproceedings{conf/aaai/0005YYJZ16,
title = {Stochastic Optimization for Kernel PCA.},
year = {2016},
booktitle = {AAAI},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Jinfeng Yi} and {Rong Jin 001} and {Zhi-Hua Zhou}},
publisher = {AAAI Press},
booktitle = {Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA.}
}
@inproceedings{conf/aaai/LiY0J16,
title = {Fast and Accurate Refined Nyström-Based Kernel SVM.},
year = {2016},
booktitle = {AAAI},
author = {{Zhe Li 008} and {Tianbao Yang} and {Lijun Zhang 005} and {Rong Jin 001}},
publisher = {AAAI Press},
booktitle = {Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA.}
}
@inproceedings{conf/alt/0005YJZ16,
title = {Sparse Learning for Large-Scale and High-Dimensional Data: A Randomized Convex-Concave Optimization Approach.},
year = {2016},
booktitle = {ALT},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001} and {Zhi-Hua Zhou}},
booktitle = {Algorithmic Learning Theory - 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings}
}
@inproceedings{conf/cvpr/GanYG16,
title = {Learning Attributes Equals Multi-Source Domain Generalization.},
year = {2016},
booktitle = {CVPR},
author = {{Chuang Gan} and {Tianbao Yang} and {Boqing Gong}},
publisher = {IEEE Computer Society},
booktitle = {2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016}
}
@inproceedings{conf/icml/YangZJY16,
title = {Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient.},
year = {2016},
booktitle = {ICML},
author = {{Tianbao Yang} and {Lijun Zhang 005} and {Rong Jin 001} and {Jinfeng Yi}},
publisher = {JMLR.org},
booktitle = {Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016}
}
@inproceedings{conf/icml/ZhangYJXZ16,
title = {Online Stochastic Linear Optimization under One-bit Feedback.},
year = {2016},
booktitle = {ICML},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001} and {Yichi Xiao} and {Zhi-Hua Zhou}},
publisher = {JMLR.org},
booktitle = {Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016}
}
@inproceedings{conf/kdd/ZhangYS16,
title = {Online Asymmetric Active Learning with Imbalanced Data.},
year = {2016},
booktitle = {KDD},
author = {{Xiaoxuan Zhang} and {Tianbao Yang} and {Padmini Srinivasan}},
publisher = {ACM},
booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016}
}
@inproceedings{conf/nips/LiGY16,
title = {Improved Dropout for Shallow and Deep Learning.},
year = {2016},
booktitle = {NIPS},
author = {{Zhe Li 008} and {Boqing Gong} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain}
}
@inproceedings{conf/nips/XuYLY16,
title = {Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/\\epsilon).},
year = {2016},
booktitle = {NIPS},
author = {{Yi Xu} and {Yan Yan 006} and {Qihang Lin} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain}
}
@inproceedings{conf/uai/ChenYLZC16,
title = {Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections.},
year = {2016},
booktitle = {UAI},
author = {{Jianhui Chen} and {Tianbao Yang} and {Qihang Lin} and {Lijun Zhang 005} and {Yi Chang 001}},
publisher = {AUAI Press},
booktitle = {Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA}
}
@article{journals/corr/0005YYJZ16,
title = {Improved dynamic regret for non-degeneracy functions.},
year = {2016},
journal = {CoRR},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Jinfeng Yi} and {Rong Jin 001} and {Zhi-Hua Zhou}}
}
@article{journals/corr/XuLY16,
title = {Accelerate Stochastic Subgradient Method by Leveraging Local Error Bound.},
year = {2016},
journal = {CoRR},
author = {{Yi Xu} and {Qihang Lin} and {Tianbao Yang}}
}
@article{journals/ml/YangJZL16,
title = {On Data Preconditioning for Regularized Loss Minimization.},
year = {2016},
journal = {Mach. Learn.},
author = {{Tianbao Yang} and {Rong Jin 001} and {Shenghuo Zhu} and {Qihang Lin}}
}
@inproceedings{conf/aaai/LiY0J17,
title = {A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis.},
year = {2017},
booktitle = {AAAI},
author = {{Zhe Li 008} and {Tianbao Yang} and {Lijun Zhang 005} and {Rong Jin 001}},
publisher = {AAAI Press},
booktitle = {Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA.}
}
@inproceedings{conf/aaai/XuY0Y17,
title = {Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee.},
year = {2017},
booktitle = {AAAI},
author = {{Yi Xu} and {Haiqin Yang} and {Lijun Zhang 005} and {Tianbao Yang}},
publisher = {AAAI Press},
booktitle = {Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA.}
}
@inproceedings{conf/aaai/YanYYC17,
title = {A Framework of Online Learning with Imbalanced Streaming Data.},
year = {2017},
booktitle = {AAAI},
author = {{Yan Yan 006} and {Tianbao Yang} and {Yi Yang 001} and {Jianhui Chen}},
publisher = {AAAI Press},
booktitle = {Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA.}
}
@inproceedings{conf/colt/0005YJ17,
title = {Empirical Risk Minimization for Stochastic Convex Optimization: \$O(1/n)\$- and \$O(1/n^2)\$-type of Risk Bounds.},
year = {2017},
booktitle = {COLT},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001}},
publisher = {PMLR},
booktitle = {Proceedings of the 30th Conference on Learning Theory, COLT 2017, Amsterdam, The Netherlands, 7-10 July 2017}
}
@inproceedings{conf/icml/XuLY17,
title = {Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence.},
year = {2017},
booktitle = {ICML},
author = {{Yi Xu} and {Qihang Lin} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017}
}
@inproceedings{conf/icml/YangL017,
title = {A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates.},
year = {2017},
booktitle = {ICML},
author = {{Tianbao Yang} and {Qihang Lin} and {Lijun Zhang 005}},
publisher = {PMLR},
booktitle = {Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017}
}
@inproceedings{conf/ijcai/XiaoLY017,
title = {SVD-free Convex-Concave Approaches for Nuclear Norm Regularization.},
year = {2017},
booktitle = {IJCAI},
author = {{Yichi Xiao} and {Zhe Li 008} and {Tianbao Yang} and {Lijun Zhang 005}},
publisher = {ijcai.org},
booktitle = {Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017}
}
@inproceedings{conf/nips/0005YYRZ17,
title = {Improved Dynamic Regret for Non-degenerate Functions.},
year = {2017},
booktitle = {NIPS},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Jinfeng Yi} and {Rong Jin 001} and {Zhi-Hua Zhou}},
booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA}
}
@inproceedings{conf/nips/LiuY17,
title = {Adaptive Accelerated Gradient Converging Method under H\\"\{o\}lderian Error Bound Condition.},
year = {2017},
booktitle = {NIPS},
author = {{Mingrui Liu} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA}
}
@inproceedings{conf/nips/XuLLY17,
title = {ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization.},
year = {2017},
booktitle = {NIPS},
author = {{Yi Xu} and {Mingrui Liu} and {Qihang Lin} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA}
}
@inproceedings{conf/nips/XuLY17,
title = {Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter.},
year = {2017},
booktitle = {NIPS},
author = {{Yi Xu} and {Qihang Lin} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA}
}
@article{journals/corr/0005YJ17,
title = {Empirical Risk Minimization for Stochastic Convex Optimization: O(1/n)- and O(1/n2)-type of Risk Bounds.},
year = {2017},
journal = {CoRR},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001}}
}
@article{journals/corr/0005YJZ17,
title = {Strongly Adaptive Regret Implies Optimally Dynamic Regret.},
year = {2017},
journal = {CoRR},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001} and {Zhi-Hua Zhou}}
}
@article{journals/corr/LiWLY17,
title = {SEP-Nets: Small and Effective Pattern Networks.},
year = {2017},
journal = {CoRR},
author = {{Zhe Li 008} and {Xiaoyu Wang 002} and {Xutao Lv} and {Tianbao Yang}}
}
@article{journals/corr/abs-1710-09447,
title = {Stochastic Non-convex Optimization with Strong High Probability Second-order Convergence.},
year = {2017},
journal = {CoRR},
author = {{Mingrui Liu} and {Tianbao Yang}}
}
@article{journals/jmlr/LeeLMY17,
title = {Distributed Stochastic Variance Reduced Gradient Methods by Sampling Extra Data with Replacement.},
year = {2017},
journal = {J. Mach. Learn. Res.},
author = {{Jason D. Lee} and {Qihang Lin} and {Tengyu Ma 001} and {Tianbao Yang}}
}
@incollection{series/acvpr/GanYG17,
title = {A Multisource Domain Generalization Approach to Visual Attribute Detection.},
year = {2017},
booktitle = {Domain Adaptation in Computer Vision Applications},
author = {{Chuang Gan} and {Tianbao Yang} and {Boqing Gong}},
publisher = {Springer},
booktitle = {Domain Adaptation in Computer Vision Applications.}
}
@inproceedings{conf/aistats/YangLZ18,
title = {A Simple Analysis for Exp-concave Empirical Minimization with Arbitrary Convex Regularizer.},
year = {2018},
booktitle = {AISTATS},
author = {{Tianbao Yang} and {Zhe Li 008} and {Lijun Zhang 005}},
publisher = {PMLR},
booktitle = {International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain}
}
@inproceedings{conf/anzcc/ChengYHYC18,
title = {An Indirect-Direct event-triggered mechanism for networked control system against DoS attacks.},
year = {2018},
booktitle = {ANZCC},
author = {{Zihao Cheng} and {Dong Yue 001} and {Songlin Hu} and {Tianbao Yang} and {Lei Chen}},
publisher = {IEEE},
booktitle = {2018 Australian & New Zealand Control Conference (ANZCC), Melbourne, Australia, December 7-8, 2018}
}
@inproceedings{conf/eccv/LiWYG18,
title = {How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization.},
year = {2018},
booktitle = {ECCV (8)},
author = {{Yandong Li} and {Liqiang Wang} and {Tianbao Yang} and {Boqing Gong}},
publisher = {Springer},
booktitle = {Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VIII}
}
@inproceedings{conf/eccv/SharghiBLYG18,
title = {Improving Sequential Determinantal Point Processes for Supervised Video Summarization.},
year = {2018},
booktitle = {ECCV (3)},
author = {{Aidean Sharghi} and {Ali Borji} and {Chengtao Li} and {Tianbao Yang} and {Boqing Gong}},
publisher = {Springer},
booktitle = {Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part III}
}
@inproceedings{conf/icml/ChenXCY18,
title = {SADAGRAD: Strongly Adaptive Stochastic Gradient Methods.},
year = {2018},
booktitle = {ICML},
author = {{Zaiyi Chen} and {Yi Xu} and {Enhong Chen} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018}
}
@inproceedings{conf/icml/LinMY18,
title = {Level-Set Methods for Finite-Sum Constrained Convex Optimization.},
year = {2018},
booktitle = {ICML},
author = {{Qihang Lin} and {Runchao Ma} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018}
}
@inproceedings{conf/icml/LiuZCWY18,
title = {Fast Stochastic AUC Maximization with O(1/n)-Convergence Rate.},
year = {2018},
booktitle = {ICML},
author = {{Mingrui Liu} and {Xiaoxuan Zhang} and {Zaiyi Chen} and {Xiaoyu Wang} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018}
}
@inproceedings{conf/icml/ZhangYJZ18,
title = {Dynamic Regret of Strongly Adaptive Methods.},
year = {2018},
booktitle = {ICML},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001} and {Zhi-Hua Zhou}},
publisher = {PMLR},
booktitle = {Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018}
}
@inproceedings{conf/ijcai/YanYLLY18,
title = {A Unified Analysis of Stochastic Momentum Methods for Deep Learning.},
year = {2018},
booktitle = {IJCAI},
author = {{Yan Yan 006} and {Tianbao Yang} and {Zhe Li 008} and {Qihang Lin} and {Yi Yang 001}},
publisher = {ijcai.org},
booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden.}
}
@inproceedings{conf/ijcai/YuKLY18,
title = {A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization.},
year = {2018},
booktitle = {IJCAI},
author = {{Xiaotian Yu} and {Irwin King} and {Michael R. Lyu} and {Tianbao Yang}},
publisher = {ijcai.org},
booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden.}
}
@inproceedings{conf/kdd/YuanZY18,
title = {Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data.},
year = {2018},
booktitle = {KDD},
author = {{Zhuoning Yuan} and {Xun Zhou} and {Tianbao Yang}},
publisher = {ACM},
booktitle = {Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018}
}
@inproceedings{conf/nips/LiuLWYY18,
title = {Adaptive Negative Curvature Descent with Applications in Non-convex Optimization.},
year = {2018},
booktitle = {NeurIPS},
author = {{Mingrui Liu} and {Zhe Li 008} and {Xiaoyu Wang 002} and {Jinfeng Yi} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada.}
}
@inproceedings{conf/nips/LiuZZRY18,
title = {Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions.},
year = {2018},
booktitle = {NeurIPS},
author = {{Mingrui Liu} and {Xiaoxuan Zhang} and {Lijun Zhang 005} and {Rong Jin 001} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada.}
}
@inproceedings{conf/nips/XuRY18,
title = {First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time.},
year = {2018},
booktitle = {NeurIPS},
author = {{Yi Xu} and {Rong Jin 001} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada.}
}
@inproceedings{conf/nips/ZhangLZY18,
title = {Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization.},
year = {2018},
booktitle = {NeurIPS},
author = {{Xiaoxuan Zhang} and {Mingrui Liu} and {Xun Zhou} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada.}
}
@article{journals/bdcc/ZhuCYZ18,
title = {A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization.},
year = {2018},
journal = {Big Data Cogn. Comput.},
author = {{Dixian Zhu} and {Changjie Cai} and {Tianbao Yang} and {Xun Zhou}}
}
@article{journals/corr/abs-1806-00851,
title = {An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints.},
year = {2018},
journal = {CoRR},
author = {{Zhe Li 008} and {Xuehan Xiong} and {Zhou Ren} and {Ning Zhang} and {Xiaoyu Wang 002} and {Tianbao Yang}}
}
@article{journals/corr/abs-1806-01940,
title = {EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching.},
year = {2018},
journal = {CoRR},
author = {{Jian Ren} and {Zhe Li 008} and {Jianchao Yang} and {Ning Xu 001} and {Tianbao Yang} and {David J. Foran}}
}
@article{journals/corr/abs-1810-01152,
title = {Learning Discriminators as Energy Networks in Adversarial Learning.},
year = {2018},
journal = {CoRR},
author = {{Pingbo Pan} and {Yan Yan 006} and {Tianbao Yang} and {Yi Yang 001}}
}
@article{journals/corr/abs-1810-02060,
title = {Non-Convex Min-Max Optimization: Provable Algorithms and Applications in Machine Learning.},
year = {2018},
journal = {CoRR},
author = {{Hassan Rafique} and {Mingrui Liu} and {Qihang Lin} and {Tianbao Yang}}
}
@article{journals/corr/abs-1812-03934,
title = {Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD?},
year = {2018},
journal = {CoRR},
author = {{Tianbao Yang} and {Yan Yan 006} and {Zhuoning Yuan} and {Rong Jin 001}}
}
@article{journals/jmlr/YangL18,
title = {RSG: Beating Subgradient Method without Smoothness and Strong Convexity.},
year = {2018},
journal = {J. Mach. Learn. Res.},
author = {{Tianbao Yang} and {Qihang Lin}}
}
@incollection{reference/snam/YangJCZ18,
title = {Combining Link and Content for Community Detection.},
year = {2018},
booktitle = {Encyclopedia of Social Network Analysis and Mining. 2nd Ed.},
author = {{Tianbao Yang} and {Rong Jin 001} and {Yun Chi} and {Shenghuo Zhu}},
publisher = {Springer},
booktitle = {Encyclopedia of Social Network Analysis and Mining, 2nd Edition}
}
@inproceedings{conf/aistats/Zhu0WGY19,
title = {A Robust Zero-Sum Game Framework for Pool-based Active Learning.},
year = {2019},
booktitle = {AISTATS},
author = {{Dixian Zhu} and {Zhe Li 008} and {Xiaoyu Wang 002} and {Boqing Gong} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan}
}
@inproceedings{conf/cvpr/Ren0YXYF19,
title = {EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch.},
year = {2019},
booktitle = {CVPR},
author = {{Jian Ren} and {Zhe Li 008} and {Jianchao Yang} and {Ning Xu 001} and {Tianbao Yang} and {David J. Foran}},
publisher = {Computer Vision Foundation / IEEE},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019}
}
@inproceedings{conf/iclr/ChenYYZCY19,
title = {Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions.},
year = {2019},
booktitle = {ICLR (Poster)},
author = {{Zaiyi Chen} and {Zhuoning Yuan} and {Jinfeng Yi} and {Bowen Zhou} and {Enhong Chen} and {Tianbao Yang}},
publisher = {OpenReview.net},
booktitle = {7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019}
}
@inproceedings{conf/icml/ChenXHY19,
title = {Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number.},
year = {2019},
booktitle = {ICML},
author = {{Zaiyi Chen} and {Yi Xu} and {Haoyuan Hu} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA}
}
@inproceedings{conf/icml/XuQLJY19,
title = {Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence.},
year = {2019},
booktitle = {ICML},
author = {{Yi Xu} and {Qi Qi 006} and {Qihang Lin} and {Rong Jin 001} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA}
}
@inproceedings{conf/ijcai/XuYYJY19,
title = {On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization.},
year = {2019},
booktitle = {IJCAI},
author = {{Yi Xu} and {Zhuoning Yuan} and {Sen Yang} and {Rong Jin 001} and {Tianbao Yang}},
publisher = {ijcai.org},
booktitle = {Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019}
}
@inproceedings{conf/nips/XuJY19,
title = {Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems.},
year = {2019},
booktitle = {NeurIPS},
author = {{Yi Xu} and {Rong Jin 001} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada.}
}
@inproceedings{conf/nips/Yuan0JY19,
title = {Stagewise Training Accelerates Convergence of Testing Error Over SGD.},
year = {2019},
booktitle = {NeurIPS},
author = {{Zhuoning Yuan} and {Yan Yan 006} and {Rong Jin 001} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada.}
}
@inproceedings{conf/uai/XuZYZJY19,
title = {Learning with Non-Convex Truncated Losses by SGD.},
year = {2019},
booktitle = {UAI},
author = {{Yi Xu} and {Shenghuo Zhu} and {Sen Yang} and {Chi Zhang} and {Rong Jin 001} and {Tianbao Yang}},
publisher = {AUAI Press},
booktitle = {Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI 2019, Tel Aviv, Israel, July 22-25, 2019}
}
@article{journals/aimatters/Yang19,
title = {Advancing non-convex and constrained learning: challenges and opportunities.},
year = {2019},
journal = {AI Matters},
author = {{Tianbao Yang}}
}
@article{journals/corr/abs-1904-10112,
title = {Stochastic Primal-Dual Algorithms with Faster Convergence than O(1/√T) for Problems without Bilinear Structure.},
year = {2019},
journal = {CoRR},
author = {{Yan Yan 006} and {Yi Xu} and {Qihang Lin} and {Lijun Zhang 005} and {Tianbao Yang}}
}
@article{journals/corr/abs-1909-11763,
title = {Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient.},
year = {2019},
journal = {CoRR},
author = {{Yunhui Guo} and {Mingrui Liu} and {Tianbao Yang} and {Tajana Rosing}}
}
@article{journals/corr/abs-1910-12999,
title = {Decentralized Parallel Algorithm for Training Generative Adversarial Nets.},
year = {2019},
journal = {CoRR},
author = {{Mingrui Liu} and {Youssef Mroueh} and {Wei Zhang 022} and {Xiaodong Cui} and {Jerret Ross} and {Tianbao Yang} and {Payel Das}}
}
@article{journals/jmlr/0005YJZ19,
title = {Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion.},
year = {2019},
journal = {J. Mach. Learn. Res.},
author = {{Lijun Zhang 005} and {Tianbao Yang} and {Rong Jin 001} and {Zhi-Hua Zhou}}
}
@article{journals/ml/YangZJZZ19,
title = {A simple homotopy proximal mapping algorithm for compressive sensing.},
year = {2019},
journal = {Mach. Learn.},
author = {{Tianbao Yang} and {Lijun Zhang 005} and {Rong Jin 001} and {Shenghuo Zhu} and {Zhi-Hua Zhou}}
}
@inproceedings{conf/aaai/PanL0YY20,
title = {Adversarial Localized Energy Network for Structured Prediction.},
year = {2020},
booktitle = {AAAI},
author = {{Pingbo Pan} and {Ping Liu} and {Yan Yan 006} and {Tianbao Yang} and {Yi Yang 001}},
publisher = {AAAI Press},
booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020.}
}
@inproceedings{conf/aaai/ZhuSCLCZNMYC20,
title = {Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval.},
year = {2020},
booktitle = {AAAI},
author = {{Dixian Zhu} and {Dongjin Song} and {Yuncong Chen} and {Cristian Lumezanu} and {Wei Cheng 002} and {Bo Zong} and {Jingchao Ni} and {Takehiko Mizoguchi} and {Tianbao Yang} and {Haifeng Chen}},
publisher = {AAAI Press},
booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020.}
}
@inproceedings{conf/aistats/0005LY20,
title = {Minimizing Dynamic Regret and Adaptive Regret Simultaneously.},
year = {2020},
booktitle = {AISTATS},
author = {{Lijun Zhang 005} and {Shiyin Lu} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]}
}
@inproceedings{conf/eccv/QiYWWY20,
title = {A Simple and Effective Framework for Pairwise Deep Metric Learning.},
year = {2020},
booktitle = {ECCV (27)},
author = {{Qi Qi 006} and {Yan Yan 006} and {Zixuan Wu} and {Xiaoyu Wang 002} and {Tianbao Yang}},
publisher = {Springer},
booktitle = {Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXVII}
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title = {Accelerating Deep Learning with Millions of Classes.},
year = {2020},
booktitle = {ECCV (23)},
author = {{Zhuoning Yuan} and {Zhishuai Guo} and {Xiaotian Yu} and {Xiaoyu Wang 002} and {Tianbao Yang}},
publisher = {Springer},
booktitle = {Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIII}
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year = {2020},
booktitle = {ICLR},
author = {{Mingrui Liu} and {Youssef Mroueh} and {Jerret Ross} and {Wei Zhang 022} and {Xiaodong Cui} and {Payel Das} and {Tianbao Yang}},
publisher = {OpenReview.net},
booktitle = {8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020}
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title = {Stochastic AUC Maximization with Deep Neural Networks.},
year = {2020},
booktitle = {ICLR},
author = {{Mingrui Liu} and {Zhuoning Yuan} and {Yiming Ying} and {Tianbao Yang}},
publisher = {OpenReview.net},
booktitle = {8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020}
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title = {Stochastic Optimization for Non-convex Inf-Projection Problems.},
year = {2020},
booktitle = {ICML},
author = {{Yan Yan 006} and {Yi Xu} and {Lijun Zhang 005} and {Xiaoyu Wang} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event.}
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title = {Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks.},
year = {2020},
booktitle = {ICML},
author = {{Zhishuai Guo} and {Mingrui Liu} and {Zhuoning Yuan} and {Li Shen 005} and {Wei Liu 005} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event.}
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title = {Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints.},
year = {2020},
booktitle = {ICML},
author = {{Runchao Ma} and {Qihang Lin} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event.}
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title = {Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization.},
year = {2020},
booktitle = {NeurIPS},
author = {{Yan Yan 006} and {Yi Xu} and {Qihang Lin} and {Wei Liu 005} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual.}
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title = {Improved Schemes for Episodic Memory-based Lifelong Learning.},
year = {2020},
booktitle = {NeurIPS},
author = {{Yunhui Guo} and {Mingrui Liu} and {Tianbao Yang} and {Tajana Rosing}},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual.}
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title = {A Decentralized Parallel Algorithm for Training Generative Adversarial Nets.},
year = {2020},
booktitle = {NeurIPS},
author = {{Mingrui Liu} and {Wei Zhang 022} and {Youssef Mroueh} and {Xiaodong Cui} and {Jarret Ross} and {Tianbao Yang} and {Payel Das}},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual.}
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title = {Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization.},
year = {2020},
journal = {CoRR},
author = {{Yan Yan 006} and {Yi Xu} and {Qihang Lin} and {Wei Liu 005} and {Tianbao Yang}}
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title = {Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives.},
year = {2020},
journal = {CoRR},
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title = {Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems.},
year = {2020},
journal = {CoRR},
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}
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title = {Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise.},
year = {2020},
journal = {CoRR},
author = {{Yan Yan 006} and {Xin Man} and {Tianbao Yang}}
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title = {A Practical Online Method for Distributionally Deep Robust Optimization.},
year = {2020},
journal = {CoRR},
author = {{Qi Qi 006} and {Zhishuai Guo} and {Yi Xu} and {Rong Jin 001} and {Tianbao Yang}}
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title = {Variance-Reduced Off-Policy Memory-Efficient Policy Search.},
year = {2020},
journal = {CoRR},
author = {{Daoming Lyu} and {Qi Qi 006} and {Mohammad Ghavamzadeh} and {Hengshuai Yao} and {Tianbao Yang} and {Bo Liu 006}}
}
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title = {Adam+: A Stochastic Method with Adaptive Variance Reduction.},
year = {2020},
journal = {CoRR},
author = {{Mingrui Liu} and {Wei Zhang 022} and {Francesco Orabona} and {Tianbao Yang}}
}
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title = {Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification.},
year = {2020},
journal = {CoRR},
author = {{Zhuoning Yuan} and {Yan Yan 006} and {Milan Sonka} and {Tianbao Yang}}
}
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title = {Attentional Biased Stochastic Gradient for Imbalanced Classification.},
year = {2020},
journal = {CoRR},
author = {{Qi Qi 006} and {Yi Xu} and {Rong Jin 001} and {Wotao Yin} and {Tianbao Yang}}
}
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title = {A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints.},
year = {2020},
journal = {J. Mach. Learn. Res.},
author = {{Qihang Lin} and {Selvaprabu Nadarajah} and {Negar Soheili} and {Tianbao Yang}}
}
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title = {Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent.},
year = {2020},
journal = {J. Parallel Distributed Comput.},
author = {{Soumitra Pal 001} and {Tingyang Xu} and {Tianbao Yang} and {Sanguthevar Rajasekaran} and {Jinbo Bi}}
}
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title = {High-dimensional model recovery from random sketched data by exploring intrinsic sparsity.},
year = {2020},
journal = {Mach. Learn.},
author = {{Tianbao Yang} and {Lijun Zhang 005} and {Qihang Lin} and {Shenghuo Zhu} and {Rong Jin 001}}
}
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title = {Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification.},
year = {2021},
booktitle = {ICCV},
author = {{Zhuoning Yuan} and {Yan Yan 006} and {Milan Sonka} and {Tianbao Yang}},
publisher = {IEEE},
booktitle = {2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021}
}
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title = {Stability and Generalization of Stochastic Gradient Methods for Minimax Problems.},
year = {2021},
booktitle = {ICML},
author = {{Yunwen Lei} and {Zhenhuan Yang} and {Tianbao Yang} and {Yiming Ying}},
publisher = {PMLR},
booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event.}
}
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title = {Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity.},
year = {2021},
booktitle = {ICML},
author = {{Zhuoning Yuan} and {Zhishuai Guo} and {Yi Xu} and {Yiming Ying} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event.}
}
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title = {An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives.},
year = {2021},
booktitle = {NeurIPS},
author = {{Qi Qi 006} and {Zhishuai Guo} and {Yi Xu} and {Rong Jin 001} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual.}
}
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title = {Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence.},
year = {2021},
booktitle = {NeurIPS},
author = {{Qi Qi 006} and {Youzhi Luo} and {Zhao Xu 005} and {Shuiwang Ji} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual.}
}
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title = {Online Convex Optimization with Continuous Switching Constraint.},
year = {2021},
booktitle = {NeurIPS},
author = {{Guanghui Wang 006} and {Yuanyu Wan} and {Tianbao Yang} and {Lijun Zhang 005}},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual.}
}
@inproceedings{conf/nips/YangLWYY21,
title = {Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning.},
year = {2021},
booktitle = {NeurIPS},
author = {{Zhenhuan Yang} and {Yunwen Lei} and {Puyu Wang} and {Tianbao Yang} and {Yiming Ying}},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual.}
}
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title = {Revisiting Smoothed Online Learning.},
year = {2021},
booktitle = {NeurIPS},
author = {{Lijun Zhang 005} and {Wei Jiang} and {Shiyin Lu} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual.}
}
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title = {Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity.},
year = {2021},
journal = {CoRR},
author = {{Zhuoning Yuan} and {Zhishuai Guo} and {Yi Xu} and {Yiming Ying} and {Tianbao Yang}}
}
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title = {Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence.},
year = {2021},
journal = {CoRR},
author = {{Qi Qi 006} and {Youzhi Luo} and {Zhao Xu 005} and {Shuiwang Ji} and {Tianbao Yang}}
}
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title = {On Stochastic Moving-Average Estimators for Non-Convex Optimization.},
year = {2021},
journal = {CoRR},
author = {{Zhishuai Guo} and {Yi Xu} and {Wotao Yin} and {Rong Jin 001} and {Tianbao Yang}}
}
@article{journals/corr/abs-2105-02266,
title = {Randomized Stochastic Variance-Reduced Methods for Stochastic Bilevel Optimization.},
year = {2021},
journal = {CoRR},
author = {{Zhishuai Guo} and {Tianbao Yang}}
}
@article{journals/corr/abs-2106-04911,
title = {Memory-based Optimization Methods for Model-Agnostic Meta-Learning.},
year = {2021},
journal = {CoRR},
author = {{Bokun Wang} and {Zhuoning Yuan} and {Yiming Ying} and {Tianbao Yang}}
}
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title = {Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities.},
year = {2021},
journal = {CoRR},
author = {{Tianbao Yang}}
}
@article{journals/corr/abs-2112-03459,
title = {A Novel Convergence Analysis for Algorithms of the Adam Family.},
year = {2021},
journal = {CoRR},
author = {{Zhishuai Guo} and {Yi Xu} and {Wotao Yin} and {Rong Jin 001} and {Tianbao Yang}}
}
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title = {A Unified DRO View of Multi-class Loss Functions with top-N Consistency.},
year = {2021},
journal = {CoRR},
author = {{Dixian Zhu} and {Tianbao Yang}}
}
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title = {Hybrid safe-strong rules for efficient optimization in lasso-type problems.},
year = {2021},
journal = {Comput. Stat. Data Anal.},
author = {{Yaohui Zeng} and {Tianbao Yang} and {Patrick Breheny}}
}
@article{journals/jmlr/LiuRLY21,
title = {First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems.},
year = {2021},
journal = {J. Mach. Learn. Res.},
author = {{Mingrui Liu} and {Hassan Rafique} and {Qihang Lin} and {Tianbao Yang}}
}
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title = {Momentum Accelerates the Convergence of Stochastic AUPRC Maximization.},
year = {2022},
booktitle = {AISTATS},
author = {{Guanghui Wang 006} and {Ming Yang} and {Lijun Zhang 005} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event.}
}
@inproceedings{conf/iclr/YuanGCY22,
title = {Compositional Training for End-to-End Deep AUC Maximization.},
year = {2022},
booktitle = {ICLR},
author = {{Zhuoning Yuan} and {Zhishuai Guo} and {Nitesh V. Chawla} and {Tianbao Yang}},
publisher = {OpenReview.net},
booktitle = {The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022}
}
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title = {Optimal Algorithms for Stochastic Multi-Level Compositional Optimization.},
year = {2022},
booktitle = {ICML},
author = {{Wei Jiang} and {Bokun Wang} and {Yibo Wang} and {Lijun Zhang 005} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA.}
}
@inproceedings{conf/icml/QiuHZZY22,
title = {Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence.},
year = {2022},
booktitle = {ICML},
author = {{Zi-Hao Qiu} and {Quanqi Hu} and {Yongjian Zhong} and {Lijun Zhang 005} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA.}
}
@inproceedings{conf/icml/WangY22,
title = {Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications.},
year = {2022},
booktitle = {ICML},
author = {{Bokun Wang} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA.}
}
@inproceedings{conf/icml/YuWWLYJ22,
title = {GraphFM: Improving Large-Scale GNN Training via Feature Momentum.},
year = {2022},
booktitle = {ICML},
author = {{Haiyang Yu} and {Limei Wang} and {Bokun Wang} and {Meng Liu} and {Tianbao Yang} and {Shuiwang Ji}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA.}
}
@inproceedings{conf/icml/YuanWQDZZY22,
title = {Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance.},
year = {2022},
booktitle = {ICML},
author = {{Zhuoning Yuan} and {Yuexin Wu} and {Zi-Hao Qiu} and {Xianzhi Du} and {Lijun Zhang 005} and {Denny Zhou} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA.}
}
@inproceedings{conf/icml/Zhang0YY22,
title = {A Simple yet Universal Strategy for Online Convex Optimization.},
year = {2022},
booktitle = {ICML},
author = {{Lijun Zhang 005} and {Guanghui Wang 006} and {Jinfeng Yi} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA.}
}
@inproceedings{conf/icml/ZhuLWWY22,
title = {When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee.},
year = {2022},
booktitle = {ICML},
author = {{Dixian Zhu} and {Gang Li} and {Bokun Wang} and {Xiaodong Wu} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA.}
}
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title = {Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization.},
year = {2022},
booktitle = {NeurIPS},
author = {{Quanqi Hu} and {Yongjian Zhong} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022.}
}
@inproceedings{conf/nips/JiangLW0Y22,
title = {Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization.},
year = {2022},
booktitle = {NeurIPS},
author = {{Wei Jiang} and {Gang Li} and {Yibo Wang} and {Lijun Zhang 005} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022.}
}
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title = {Large-scale Optimization of Partial AUC in a Range of False Positive Rates.},
year = {2022},
booktitle = {NeurIPS},
author = {{Yao Yao} and {Qihang Lin} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022.}
}
@inproceedings{conf/nips/ZhangJYY22,
title = {Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor.},
year = {2022},
booktitle = {NeurIPS},
author = {{Lijun Zhang 005} and {Wei Jiang} and {Jinfeng Yi} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022.}
}
@article{journals/corr/abs-2202-12396,
title = {Finite-Sum Compositional Stochastic Optimization: Theory and Applications.},
year = {2022},
journal = {CoRR},
author = {{Bokun Wang} and {Tianbao Yang}}
}
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title = {Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices.},
year = {2022},
journal = {CoRR},
author = {{Dixian Zhu} and {Xiaodong Wu} and {Tianbao Yang}}
}
@article{journals/corr/abs-2206-00439,
title = {Algorithmic Foundation of Deep X-Risk Optimization.},
year = {2022},
journal = {CoRR},
author = {{Tianbao Yang}}
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@article{journals/corr/abs-2210-05740,
title = {Stochastic Constrained DRO with a Complexity Independent of Sample Size.},
year = {2022},
journal = {CoRR},
author = {{Qi Qi 001} and {Jiameng Lyu} and {Kung-Sik Chan} and {Er-Wei Bai} and {Tianbao Yang}}
}
@article{journals/corr/abs-2210-06630,
title = {Fairness via Adversarial Attribute Neighbourhood Robust Learning.},
year = {2022},
journal = {CoRR},
author = {{Qi Qi 006} and {Shervin Ardeshir} and {Yi Xu} and {Tianbao Yang}}
}
@article{journals/corr/abs-2210-14396,
title = {FedX: Federated Learning for Compositional Pairwise Risk Optimization.},
year = {2022},
journal = {CoRR},
author = {{Zhishuai Guo} and {Rong Jin 001} and {Jiebo Luo} and {Tianbao Yang}}
}
@article{journals/oms/RafiqueLLY22,
title = {Weakly-convex-concave min-max optimization: provable algorithms and applications in machine learning.},
year = {2022},
journal = {Optim. Methods Softw.},
author = {{Hassan Rafique} and {Mingrui Liu} and {Qihang Lin} and {Tianbao Yang}}
}
@article{journals/remotesensing/HongZCZLSYT22,
title = {SATNet: A Spatial Attention Based Network for Hyperspectral Image Classification.},
year = {2022},
journal = {Remote. Sens.},
author = {{Qingqing Hong} and {Xinyi Zhong} and {Weitong Chen} and {Zhenghua Zhang} and {Bin Li 006} and {Hao Sun} and {Tianbao Yang} and {Changwei Tan}}
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title = {Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints.},
year = {2023},
booktitle = {AISTATS},
author = {{Yao Yao} and {Qihang Lin} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain.}
}
@inproceedings{conf/icml/Guo0LY23,
title = {FeDXL: Provable Federated Learning for Deep X-Risk Optimization.},
year = {2023},
booktitle = {ICML},
author = {{Zhishuai Guo} and {Rong Jin 001} and {Jiebo Luo} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA.}
}
@inproceedings{conf/icml/HuQG0Y23,
title = {Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization.},
year = {2023},
booktitle = {ICML},
author = {{Quanqi Hu} and {Zi-Hao Qiu} and {Zhishuai Guo} and {Lijun Zhang 005} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA.}
}
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title = {Learning Unnormalized Statistical Models via Compositional Optimization.},
year = {2023},
booktitle = {ICML},
author = {{Wei Jiang} and {Jiayu Qin} and {Lingyu Wu} and {Changyou Chen} and {Tianbao Yang} and {Lijun Zhang}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA.}
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title = {Generalization Analysis for Contrastive Representation Learning.},
year = {2023},
booktitle = {ICML},
author = {{Yunwen Lei} and {Tianbao Yang} and {Yiming Ying} and {Ding-Xuan Zhou}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA.}
}
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title = {Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization.},
year = {2023},
booktitle = {ICML},
author = {{Zi-Hao Qiu} and {Quanqi Hu} and {Zhuoning Yuan} and {Denny Zhou} and {Lijun Zhang 005} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA.}
}
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title = {Provable Multi-instance Deep AUC Maximization with Stochastic Pooling.},
year = {2023},
booktitle = {ICML},
author = {{Dixian Zhu} and {Bokun Wang} and {Zhi Chen 025} and {Yaxing Wang} and {Milan Sonka} and {Xiaodong Wu} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA.}
}
@inproceedings{conf/icml/ZhuYY23,
title = {Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity.},
year = {2023},
booktitle = {ICML},
author = {{Dixian Zhu} and {Yiming Ying} and {Tianbao Yang}},
publisher = {PMLR},
booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA.}
}
@inproceedings{conf/kdd/YuanZQLWY23,
title = {LibAUC: A Deep Learning Library for X-Risk Optimization.},
year = {2023},
booktitle = {KDD},
author = {{Zhuoning Yuan} and {Dixian Zhu} and {Zi-Hao Qiu} and {Gang Li} and {Xuanhui Wang} and {Tianbao Yang}},
publisher = {ACM},
booktitle = {Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023}
}
@inproceedings{conf/ml4h/KingYM23,
title = {Multimodal Pretraining of Medical Time Series and Notes.},
year = {2023},
booktitle = {ML4H@NeurIPS},
author = {{Ryan King} and {Tianbao Yang} and {Bobak J. Mortazavi}},
publisher = {PMLR},
booktitle = {Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA.}
}
@inproceedings{conf/nips/00050ZYZ23,
title = {Stochastic Approximation Approaches to Group Distributionally Robust Optimization.},
year = {2023},
booktitle = {NeurIPS},
author = {{Lijun Zhang 005} and {Peng Zhao 006} and {Zhen-Hua Zhuang} and {Tianbao Yang} and {Zhi-Hua Zhou}},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023.}
}
@inproceedings{conf/nips/AnZZY23,
title = {SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data.},
year = {2023},
booktitle = {NeurIPS},
author = {{Bang An} and {Xun Zhou} and {Yongjian Zhong} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023.}
}
@inproceedings{conf/nips/HuZY23,
title = {Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization.},
year = {2023},
booktitle = {NeurIPS},
author = {{Quanqi Hu} and {Dixian Zhu} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023.}
}
@inproceedings{conf/nips/LiTY23,
title = {Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness.},
year = {2023},
booktitle = {NeurIPS},
author = {{Gang Li} and {Wei Tong} and {Tianbao Yang}},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023.}
}
@inproceedings{conf/nips/ZhangZYSG23,
title = {Federated Compositional Deep AUC Maximization.},
year = {2023},
booktitle = {NeurIPS},
author = {{Xinwen Zhang} and {Yihan Zhang} and {Tianbao Yang} and {Richard Souvenir} and {Hongchang Gao}},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023.}
}
@article{journals/corr/abs-2302-09267,
title = {Stochastic Approximation Approaches to Group Distributionally Robust Optimization.},
year = {2023},
journal = {CoRR},
author = {{Lijun Zhang 005} and {Peng Zhao 006} and {Tianbao Yang} and {Zhi-Hua Zhou}}
}
@article{journals/corr/abs-2306-07485,
title = {Learning Unnormalized Statistical Models via Compositional Optimization.},
year = {2023},
journal = {CoRR},
author = {{Wei Jiang} and {Jiayu Qin} and {Lingyu Wu} and {Changyou Chen} and {Tianbao Yang} and {Lijun Zhang 005}}
}
@article{journals/corr/abs-2307-03357,
title = {Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms.},
year = {2023},
journal = {CoRR},
author = {{Ming Yang} and {Xiyuan Wei} and {Tianbao Yang} and {Yiming Ying}}
}
@article{journals/corr/abs-2308-15614,
title = {Everything Perturbed All at Once: Enabling Differentiable Graph Attacks.},
year = {2023},
journal = {CoRR},
author = {{Haoran Liu} and {Bokun Wang} and {Jianling Wang} and {Xiangjue Dong} and {Tianbao Yang} and {James Caverlee}}
}
@article{journals/corr/abs-2310-11693,
title = {AUC-mixup: Deep AUC Maximization with Mixup.},
year = {2023},
journal = {CoRR},
author = {{Jianzhi Xv} and {Gang Li} and {Tianbao Yang}}
}
@article{journals/corr/abs-2312-02277,
title = {ALEXR: Optimal Single-Loop Algorithms for Convex Finite-Sum Coupled Compositional Stochastic Optimization.},
year = {2023},
journal = {CoRR},
author = {{Bokun Wang} and {Tianbao Yang}}
}
@article{journals/csur/YangY23,
title = {AUC Maximization in the Era of Big Data and AI: A Survey.},
year = {2023},
journal = {ACM Comput. Surv.},
author = {{Tianbao Yang} and {Yiming Ying}}
}
@article{journals/jmlr/Guo0YY23,
title = {Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition.},
year = {2023},
journal = {J. Mach. Learn. Res.},
author = {{Zhishuai Guo} and {Yan Yan 006} and {Zhuoning Yuan} and {Tianbao Yang}}
}
@article{journals/jmlr/WangYYY23,
title = {Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning.},
year = {2023},
journal = {J. Mach. Learn. Res.},
author = {{Bokun Wang} and {Zhuoning Yuan} and {Yiming Ying} and {Tianbao Yang}}
}