Haochuan Li

According to our database, Haochuan Li authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Variance-reduced Clipping for Non-convex Optimization.

Amirhossein Reisizadeh, Haochuan Li, Subhro Das, Ali Jadbabaie

CoRR, 2023

Convergence of Adam Under Relaxed Assumptions.

Haochuan Li, Alexander Rakhlin, Ali Jadbabaie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Convex and Non-convex Optimization Under Generalized Smoothness.

Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective.

Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie

Proceedings of the International Conference on Machine Learning, 2022

On Convergence of Gradient Descent Ascent: A Tight Local Analysis.

Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie

Proceedings of the International Conference on Machine Learning, 2022

Byzantine-Robust Federated Linear Bandits.

Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

On Convergence of Training Loss Without Reaching Stationary Points.

Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie

CoRR, 2021

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

Haochuan Li, Yi Tian, Jingzhao Zhang, Ali Jadbabaie

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Convergence of Adversarial Training in Overparametrized Networks.

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

CoRR, 2019

Convergence of Adversarial Training in Overparametrized Neural Networks.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Gradient Descent Finds Global Minima of Deep Neural Networks.

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

Proceedings of the 36th International Conference on Machine Learning, 2019