Haochuan Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Karush Kuhn Tucker

Stationary Points

Simplifying Assumptions

Top Venues

Publications

Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua
Unified Text-to-Image Generation and Retrieval. CoRR (2024)
Haochuan Li, Ali Jadbabaie, Alexander Rakhlin
Convergence of Adam Under Relaxed Assumptions. CoRR (2023)
Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie
Convex and Non-convex Optimization Under Generalized Smoothness. NeurIPS (2023)
Haochuan Li, Alexander Rakhlin, Ali Jadbabaie
Convergence of Adam Under Relaxed Assumptions. NeurIPS (2023)
Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie
Variance-reduced Clipping for Non-convex Optimization. CoRR (2023)
Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie
Convex and Non-Convex Optimization under Generalized Smoothness. CoRR (2023)
Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
On Convergence of Gradient Descent Ascent: A Tight Local Analysis. ICML (2022)
Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian
Byzantine-Robust Federated Linear Bandits. CDC (2022)
Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems. NeurIPS (2022)
Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems. CoRR (2022)
Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective. ICML (2022)
Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
On Convergence of Gradient Descent Ascent: A Tight Local Analysis. CoRR (2022)
Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian
Byzantine-Robust Federated Linear Bandits. CoRR (2022)
Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie
On Convergence of Training Loss Without Reaching Stationary Points. CoRR (2021)
Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization. CoRR (2021)
Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization. NeurIPS (2021)
Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee
Convergence of Adversarial Training in Overparametrized Networks. CoRR (2019)
Ruiqi Gao, Tianle Cai, Haochuan Li, Cho-Jui Hsieh, Liwei Wang, Jason D. Lee
Convergence of Adversarial Training in Overparametrized Neural Networks. NeurIPS (2019)
Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai
Gradient Descent Finds Global Minima of Deep Neural Networks. ICML (2019)
Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai
Gradient Descent Finds Global Minima of Deep Neural Networks. CoRR (2018)