Haochuan Li

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	Všechny	Od 2020
Citace	1836	1689
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i10-index	9	9

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Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityE-mailová adresa ověřena na: princeton.edu
Liwei WangProfessor, Peking UniversityE-mailová adresa ověřena na: cis.pku.edu.cn
Ali JadbabaieJR East Professor of Engineering, MITE-mailová adresa ověřena na: mit.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonE-mailová adresa ověřena na: cs.washington.edu
Jingzhao ZhangIIIS, Tsinghua UniversityE-mailová adresa ověřena na: mit.edu
Tianle CaiPhD Student, Princeton UniversityE-mailová adresa ověřena na: princeton.edu
Ruiqi GaoPhD Student, Princeton UniversityE-mailová adresa ověřena na: princeton.edu
Subhro DasMIT-IBM Watson AI Lab, IBM ResearchE-mailová adresa ověřena na: ibm.com
Farzan FarniaAssistant Professor, Chinese University of Hong KongE-mailová adresa ověřena na: cuhk.edu.hk
Kun HeProfessor, Huazhong University of Science and TechnologyE-mailová adresa ověřena na: hust.edu.cn

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Haochuan Li

MIT EECS

E-mailová adresa ověřena na: mit.edu

machine learning optimization reinforcement learning deep learning


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
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	1448	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	147	2019
Convergence of Adam under Relaxed Assumptions H Li, A Jadbabaie, A Rakhlin arXiv preprint arXiv:2304.13972, 2023	69	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, 40238-40271, 2023	50	2023
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	50	2021
Variance-reduced clipping for non-convex optimization A Reisizadeh, H Li, S Das, A Jadbabaie arXiv preprint arXiv:2303.00883, 2023	27	2023
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	15	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	14	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	10	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	6	2022
Smoothness and Adaptivity in Nonlinear Optimization for Machine Learning Applications H Li Massachusetts Institute of Technology, 2024		2024
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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