Haochuan Li

Citirano

	Sve	Od 2019.
Citati	1720	1707
H-indeks	8	8
i10-indeks	8	8

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Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Liwei WangProfessor, Peking UniversityPotvrđena adresa e-pošte na cis.pku.edu.cn
Ali JadbabaieJR East Professor of Engineering, MITPotvrđena adresa e-pošte na mit.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Jingzhao ZhangIIIS, Tsinghua UniversityPotvrđena adresa e-pošte na mit.edu
Tianle CaiPhD Student, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Ruiqi GaoPhD Student, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Subhro DasMIT-IBM Watson AI Lab, IBM ResearchPotvrđena adresa e-pošte na ibm.com
Farzan FarniaAssistant Professor, Chinese University of Hong KongPotvrđena adresa e-pošte na cuhk.edu.hk
Kun HeProfessor, Huazhong University of Science and TechnologyPotvrđena adresa e-pošte na hust.edu.cn

Prati

Haochuan Li

MIT EECS

Potvrđena adresa e-pošte na mit.edu

machine learning optimization reinforcement learning deep learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	1397	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	45	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	43	2021
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	27	2024
Variance-reduced clipping for non-convex optimization A Reisizadeh, H Li, S Das, A Jadbabaie arXiv preprint arXiv:2303.00883, 2023	21	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	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	12	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	6	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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