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Conference paper
Journal article
Date
2023
2022
2021
2020
2019
2018
Asuman Ozdaglar
,
Sarath Pattathil
,
Jiawei Zhang
,
Kaiqing Zhang
(2023).
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation
.
Proceedings of the 40th International Conference on Machine Learning (ICML 2023)
.
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Prashant Khanduri
,
Ioannis Tsaknakis
,
Yihua Zhang
,
Jia Liu
,
Sijia Liu
,
Jiawei Zhang
,
Mingyi Hong
(2023).
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach
.
Proceedings of the 40th International Conference on Machine Learning (ICML 2023)
.
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Jiawei Zhang
,
Wenqiang Pu
,
Zhi-Quan Luo
(2022).
On the Iteration Complexity of Smoothed Proximal ALM for Nonconvex Optimization Problem with Convex Constraints
.
arXiv preprint arXiv:2207.06304
.
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Asuman Ozdaglar
,
Sarath Pattathil
,
Jiawei Zhang
,
Kaiqing Zhang
(2022).
What is a Good Metric to Study Generalization of Minimax Learners?
.
Advances in Neural Information Processing Systems 35 (NeurIPS 2022)
.
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Jiawei Zhang
,
Songyang Ge
,
Tsung-Hui Chang
,
Zhi-Quan Luo
(2022).
Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem
.
IEEE Transactions on Signal Processing
.
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DOI
Jiawei Zhang
,
Zhi-Quan Luo
(2022).
A Global Dual Error Bound and Its Application to the Analysis of Linearly Constrained Nonconvex Optimization
.
SIAM Journal on Optimization
.
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Jiawei Zhang
,
Yushun Zhang
,
Mingyi Hong
,
Ruoyu Sun
,
Zhi-Quan Luo
(2021).
When Expressivity Meets Trainability: Fewer than $ n $ Neurons Can Work
.
Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
.
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Zhiguo Wang
,
Jiawei Zhang
,
Tsung-Hui Chang
,
Jian Li
,
Zhi-Quan Luo
(2021).
Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems
.
IEEE Transactions on Signal Processing
.
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Congliang Chen
,
Jiawei Zhang
,
Li Shen
,
Peilin Zhao
,
Zhiquan Luo
(2021).
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization
.
Proceedings of The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021)
.
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Jiawei Zhang
,
Peijun Xiao
,
Ruoyu Sun
,
Zhiquan Luo
(2020).
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
.
Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
.
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Jiawei Zhang
,
Songyang Ge
,
Tsung-Hui Chang
,
Zhi-Quan Luo
(2020).
A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization
.
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
.
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Jiawei Zhang
,
Zhi-Quan Luo
(2020).
A Proximal Alternating Direction Method of Multiplier for Linearly Constrained Nonconvex Minimization
.
SIAM Journal on Optimization
.
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Yue Xu
,
Feng Yin
,
Jiawei Zhang
,
Wenjun Xu
,
Shuguang Cui
,
Zhi-Quan Luo
(2019).
Scalable Gaussian Process Using Inexact ADMM for Big Data
.
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
.
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Wenye Li
,
Jiawei Zhang
,
Jianjun Zhou
,
Laizhong Cui
(2018).
Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach
.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18)
.
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