Jiawei Zhang
Orcid: 0000-0002-8091-5045Affiliations:
- Chinese University of Hong Kong, School of Science and Engineering, Shenzhen, China
- Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, Cambridge, MA, USA
According to our database1,
Jiawei Zhang
authored at least 25 papers
between 2019 and 2024.
Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
A Global Dual Error Bound and Its Application to the Analysis of Linearly Constrained Nonconvex Optimization.
SIAM J. Optim., September, 2022
Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem.
IEEE Trans. Signal Process., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems.
IEEE Trans. Signal Process., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
A Proximal Alternating Direction Method of Multiplier for Linearly Constrained Nonconvex Minimization.
SIAM J. Optim., 2020
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
A General O(n<sup>2</sup>) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM.
CoRR, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019