Haochuan Li

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Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerified email at princeton.edu
Liwei WangProfessor, Peking UniversityVerified email at cis.pku.edu.cn
Ali JadbabaieJR East Professor of Engineering, MITVerified email at mit.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Jingzhao ZhangIIIS, Tsinghua UniversityVerified email at mit.edu
Tianle CaiPhD Student, Princeton UniversityVerified email at princeton.edu
Ruiqi GaoPhD Student, Princeton UniversityVerified email at princeton.edu
Subhro DasMIT-IBM Watson AI Lab, IBM ResearchVerified email at ibm.com
Farzan FarniaAssistant Professor, Chinese University of Hong KongVerified email at cuhk.edu.hk
Kun HeProfessor, Huazhong University of Science and TechnologyVerified email at hust.edu.cn

Haochuan Li

MIT EECS

Verified email at mit.edu

machine learning optimization reinforcement learning deep learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Gradient descent finds global minima of deep neural networks S Du, J Lee, H Li, L Wang, X Zhai International conference on machine learning, 1675-1685, 2019	1342	2019
Convergence of adversarial training in overparametrized neural networks R Gao, T Cai, H Li, CJ Hsieh, L Wang, JD Lee Advances in Neural Information Processing Systems 32, 2019	144	2019
Complexity lower bounds for nonconvex-strongly-concave min-max optimization H Li, Y Tian, J Zhang, A Jadbabaie Advances in Neural Information Processing Systems 34, 1792-1804, 2021	39	2021
Convergence of Adam under Relaxed Assumptions H Li, A Jadbabaie, A Rakhlin arXiv preprint arXiv:2304.13972, 2023	30	2023
Variance-reduced clipping for non-convex optimization A Reisizadeh, H Li, S Das, A Jadbabaie arXiv preprint arXiv:2303.00883, 2023	18	2023
Convex and non-convex optimization under generalized smoothness H Li, J Qian, Y Tian, A Rakhlin, A Jadbabaie Advances in Neural Information Processing Systems 36, 2024	17	2024
Byzantine-robust federated linear bandits A Jadbabaie, H Li, J Qian, Y Tian 2022 IEEE 61st Conference on Decision and Control (CDC), 5206-5213, 2022	14	2022
Tight analysis of extra-gradient and optimistic gradient methods for nonconvex minimax problems P Mahdavinia, Y Deng, H Li, M Mahdavi Advances in Neural Information Processing Systems 35, 31213-31225, 2022	10	2022
Neural network weights do not converge to stationary points: An invariant measure perspective J Zhang, H Li, S Sra, A Jadbabaie International Conference on Machine Learning, 26330-26346, 2022	8	2022
On convergence of gradient descent ascent: A tight local analysis H Li, F Farnia, S Das, A Jadbabaie International Conference on Machine Learning, 12717-12740, 2022	5	2022
On the Complexity of Nonconvex-Strongly-Concave Smooth Minimax Optimization Using First-Order Methods H Li Massachusetts Institute of Technology, 2021		2021
Randomness in Deconvolutional Networks for Visual Representation K He, J Wang, H Li, Y Shu, M Zhang, M Zhu, L Wang, JE Hopcroft arXiv preprint arXiv:1704.00330, 2017		2017

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