Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Attentional Biased Stochastic Gradient for Imbalanced Classification

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

* 25pages, 10 figures 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

Variance-Reduced Off-Policy Memory-Efficient Policy Search

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Minimizing Dynamic Regret and Adaptive Regret Simultaneously

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient

Oct 31, 2019
Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing

* 16 pages 

  Access Paper or Ask Questions

Decentralized Parallel Algorithm for Training Generative Adversarial Nets

Oct 30, 2019
Mingrui Liu, Youssef Mroueh, Wei Zhang, Xiaodong Cui, Jerret Ross, Tianbao Yang, Payel Das

* Accepted by NeurIPS Smooth Games Optimization and Machine Learning Workshop: bridging game theory and deep learning, 2019 

  Access Paper or Ask Questions

Stochastic AUC Maximization with Deep Neural Networks

Aug 30, 2019
Mingrui Liu, Zhuoning Yuan, Yiming Ying, Tianbao Yang

* add some citations 

  Access Paper or Ask Questions

Stochastic Optimization for Non-convex Inf-Projection Problems

Aug 26, 2019
Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang


  Access Paper or Ask Questions

A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints

Aug 07, 2019
Qihang Lin, Selvaprabu Nadarajah, Negar Soheili, Tianbao Yang


  Access Paper or Ask Questions

Stochastic Primal-Dual Algorithms with Faster Convergence than $O(1/\sqrt{T})$ for Problems without Bilinear Structure

Apr 23, 2019
Yan Yan, Yi Xu, Qihang Lin, Lijun Zhang, Tianbao Yang


  Access Paper or Ask Questions

Why Does Stagewise Training Accelerate Convergence of Testing Error Over SGD?

Dec 11, 2018
Tianbao Yang, Yan Yan, Zhuoning Yuan, Rong Jin


  Access Paper or Ask Questions

Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence

Nov 28, 2018
Yi Xu, Qi Qi, Qihang Lin, Rong Jin, Tianbao Yang


  Access Paper or Ask Questions

Improving Sequential Determinantal Point Processes for Supervised Video Summarization

Oct 24, 2018
Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong


  Access Paper or Ask Questions

Solving Weakly-Convex-Weakly-Concave Saddle-Point Problems as Weakly-Monotone Variational Inequality

Oct 24, 2018
Qihang Lin, Mingrui Liu, Hassan Rafique, Tianbao Yang


  Access Paper or Ask Questions

Learning Discriminators as Energy Networks in Adversarial Learning

Oct 02, 2018
Pingbo Pan, Yan Yan, Tianbao Yang, Yi Yang


  Access Paper or Ask Questions

Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions

Sep 04, 2018
Zaiyi Chen, Tianbao Yang, Jinfeng Yi, Bowen Zhou, Enhong Chen

* added some new results 

  Access Paper or Ask Questions

A Unified Analysis of Stochastic Momentum Methods for Deep Learning

Aug 30, 2018
Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang

* In IJCAI, pp. 2955-2961. 2018 
* Previous Technical Report: arXiv:1604.03257 

  Access Paper or Ask Questions