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Haochuan Li

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Convex and Non-Convex Optimization under Generalized Smoothness

Jun 02, 2023
Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie

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Convergence of Adam Under Relaxed Assumptions

Apr 27, 2023
Haochuan Li, Ali Jadbabaie, Alexander Rakhlin

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Variance-reduced Clipping for Non-convex Optimization

Mar 02, 2023
Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie

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Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems

Oct 17, 2022
Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi

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On Convergence of Gradient Descent Ascent: A Tight Local Analysis

Jul 03, 2022
Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie

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Byzantine-Robust Federated Linear Bandits

Apr 03, 2022
Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian

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On Convergence of Training Loss Without Reaching Stationary Points

Oct 12, 2021
Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie

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Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization

Apr 18, 2021
Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie

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Convergence of Adversarial Training in Overparametrized Networks

Jun 19, 2019
Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee

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Gradient Descent Finds Global Minima of Deep Neural Networks

Nov 30, 2018
Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai

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