A single-loop smoothed gradient descent-ascent algorithm for nonconvex-concave min-max problems J Zhang, P Xiao, R Sun, Z Luo
Advances in neural information processing systems 33, 7377-7389, 2020
100 2020 A proximal alternating direction method of multiplier for linearly constrained nonconvex minimization J Zhang, ZQ Luo
SIAM Journal on Optimization 30 (3), 2272-2302, 2020
86 2020 A global dual error bound and its application to the analysis of linearly constrained nonconvex optimization J Zhang, ZQ Luo
SIAM Journal on Optimization 32 (3), 2319-2346, 2022
41 2022 Distributed stochastic consensus optimization with momentum for nonconvex nonsmooth problems Z Wang, J Zhang, TH Chang, J Li, ZQ Luo
IEEE Transactions on Signal Processing 69, 4486-4501, 2021
35 2021 Revisiting the linear-programming framework for offline rl with general function approximation AE Ozdaglar, S Pattathil, J Zhang, K Zhang
International Conference on Machine Learning, 26769-26791, 2023
22 2023 Communication efficient primal-dual algorithm for nonconvex nonsmooth distributed optimization C Chen, J Zhang, L Shen, P Zhao, Z Luo
International conference on artificial intelligence and statistics, 1594-1602, 2021
15 2021 Linearly constrained bilevel optimization: A smoothed implicit gradient approach P Khanduri, I Tsaknakis, Y Zhang, J Liu, S Liu, J Zhang, M Hong
International Conference on Machine Learning, 16291-16325, 2023
13 2023 What is a good metric to study generalization of minimax learners? A Ozdaglar, S Pattathil, J Zhang, K Zhang
Advances in Neural Information Processing Systems 35, 38190-38203, 2022
12 2022 Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem J Zhang, S Ge, TH Chang, ZQ Luo
IEEE Transactions on Signal Processing 70, 3312-3327, 2022
11 * 2022 When Expressivity Meets Trainability: Fewer than J Zhang, Y Zhang, M Hong, R Sun, ZQ Luo
Advances in Neural Information Processing Systems 34, 9167-9180, 2021
10 2021 On the iteration complexity of smoothed proximal alm for nonconvex optimization problem with convex constraints J Zhang, W Pu, ZQ Luo
arXiv preprint arXiv:2207.06304, 2022
8 2022 Uniformly Stable Algorithms for Adversarial Training and Beyond J Xiao, J Zhang, ZQ Luo, A Ozdaglar
ICML2024, 2024
5 * 2024 Characterization of SINR region for multi-cell downlink NOMA systems X Zhang, Y Chen, J Zhang, Y Lei, C Shen, G Zhu
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019
5 2019 Exact O(N2 ) Hyper-Parameter Optimization for Gaussian Process Regression L Xu, Y Dai, J Zhang, C Zhang, F Yin
2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020
4 2020 A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback K Kim, J Zhang, PA Parrilo, A Ozdaglar
ICML2024, 2024
2024 Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization W Shen, M Huang, J Zhang, C Shen
International Conference on Artificial Intelligence and Statistics, 3988-3996, 2024
2024 The Power of Duality Principle in Offline Average-Reward Reinforcement Learning A Ozdaglar, S Pattathil, J Zhang, K Zhang
Zhi-Quan LuoProfessor, The Chinese University of Hong Kong, Shenzhen, ChinaDirección de correo verificada de cuhk.edu.cn
