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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

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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

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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

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

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

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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

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