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Jiawei Zhang
Jiawei Zhang
Verified email at mit.edu
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Cited by
Year
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
842020
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
772020
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
372022
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
302021
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
182023
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
152021
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
112022
When Expressivity Meets Trainability: Fewer than Neurons Can Work
J Zhang, Y Zhang, M Hong, R Sun, ZQ Luo
Advances in Neural Information Processing Systems 34, 9167-9180, 2021
82021
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
62023
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
62022
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
52022
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
52019
A proximal dual consensus method for linearly coupled multi-agent non-convex optimization
J Zhang, S Ge, TH Chang, ZQ Luo
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
42020
Decentralized non-convex learning with linearly coupled constraints
J Zhang, S Ge, TH Chang, ZQ Luo
arXiv preprint arXiv:2103.05378, 2021
32021
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
32020
Scalable Gaussian process using inexact ADMM for big data
Y Xu, F Yin, J Zhang, W Xu, S Cui, ZQ Luo
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
22019
The Power of Duality Principle in Offline Average-Reward Reinforcement Learning
A Ozdaglar, S Pattathil, J Zhang, K Zhang
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Articles 1–17