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A Unified DRO View of Multi-class Loss Functions with top-N Consistency


Dec 30, 2021
Dixian Zhu, Tianbao Yang

* NIPS 2021 workshop paper 

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A Novel Convergence Analysis for Algorithms of the Adam Family


Dec 07, 2021
Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang

* In NeurIPS OPT Workshop 2021. arXiv admin note: substantial text overlap with arXiv:2104.14840 

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Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning


Nov 23, 2021
Zhenhuan Yang, Yunwen Lei, Puyu Wang, Tianbao Yang, Yiming Ying

* NeurIPS 2021 accepted 

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Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities


Nov 01, 2021
Tianbao Yang

* Medical Imaging meets NeurIPS 2021 workshop 

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Momentum Accelerates the Convergence of Stochastic AUPRC Maximization


Jul 02, 2021
Guanghui Wang, Ming Yang, Lijun Zhang, Tianbao Yang


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Memory-based Optimization Methods for Model-Agnostic Meta-Learning


Jun 09, 2021
Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang


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A Simple yet Universal Strategy for Online Convex Optimization


May 14, 2021
Lijun Zhang, Guanghui Wang, Jinfeng Yi, Tianbao Yang


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Stability and Generalization of Stochastic Gradient Methods for Minimax Problems


May 08, 2021
Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying

* To appear in ICML 2021 

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Randomized Stochastic Variance-Reduced Methods for Stochastic Bilevel Optimization


May 05, 2021
Zhishuai Guo, Tianbao Yang


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On Stochastic Moving-Average Estimators for Non-Convex Optimization


Apr 30, 2021
Zhishuai Guo, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang


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Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence


Apr 18, 2021
Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang

* 30 pages, 2 figures 

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Online Convex Optimization with Continuous Switching Constraint


Mar 21, 2021
Guanghui Wang, Yuanyu Wan, Tianbao Yang, Lijun Zhang

* 18 pages, 2 figures 

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Revisiting Smoothed Online Learning


Feb 13, 2021
Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang

* Under review 

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Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity


Feb 09, 2021
Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang

* Zhuoning and Zhishuai contributed equally to this work 

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Attentional Biased Stochastic Gradient for Imbalanced Classification


Dec 13, 2020
Qi Qi, Yi Xu, Rong Jin, Wotao Yin, Tianbao Yang

* 25pages, 10 figures 

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Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification


Dec 06, 2020
Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang


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Adam$^+$: A Stochastic Method with Adaptive Variance Reduction


Nov 24, 2020
Mingrui Liu, Wei Zhang, Francesco Orabona, Tianbao Yang


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Variance-Reduced Off-Policy Memory-Efficient Policy Search


Sep 14, 2020
Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu


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Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems


Jul 07, 2020
Zhishuai Guo, Zhuoning Yuan, Yan Yan, Tianbao Yang

* Zhishuai Guo, Zhuoning Yuan and Yan Yan contributed equally to this work 

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A Practical Online Method for Distributionally Deep Robust Optimization


Jun 17, 2020
Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang

* 20 pages, 8 figures 

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Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise


Jun 17, 2020
Yan Yan, Xin Man, Tianbao Yang


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Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks


May 05, 2020
Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang


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Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives


Mar 09, 2020
Zhishuai Guo, Zixuan Wu, Yan Yan, Xiaoyu Wang, Tianbao Yang


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Sharp Analysis of Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization


Feb 13, 2020
Yan Yan, Yi Xu, Qihang Lin, Wei Liu, Tianbao Yang


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Minimizing Dynamic Regret and Adaptive Regret Simultaneously


Feb 06, 2020
Lijun Zhang, Shiyin Lu, Tianbao Yang


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A Simple and Effective Framework for Pairwise Deep Metric Learning


Jan 11, 2020
Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang

* 16 pages, 5 figures 

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Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets


Dec 26, 2019
Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang

* Accepted by ICLR 2020 

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a simple and effective framework for pairwise deep metric learning


Dec 24, 2019
Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang

* 16 pages, 5 figures 

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