Ziyi Chen

According to our database, Ziyi Chen authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Delving into the Convergence of Generalized Smooth Minimax Optimization.

Wenhan Xian, Ziyi Chen, Heng Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces.

Ziyi Chen, Heng Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning.

Ziyi Chen, Yi Zhou, Heng Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty.

Shaocong Ma, Ziyi Chen, Shaofeng Zou, Yi Zhou

J. Mach. Learn. Res., 2023

Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization.

Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu

Proceedings of the International Conference on Machine Learning, 2023

2022

Multi-Agent Off-Policy TDC with Near-Optimal Sample and Communication Complexities.

Ziyi Chen, Yi Zhou, Rong-Rong Chen

Trans. Mach. Learn. Res., 2022

A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization.

Ziyi Chen, Bhavya Kailkhura, Yi Zhou

CoRR, 2022

Data sampling affects the complexity of online SGD over dependent data.

Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach.

Ziyi Chen, Shaocong Ma, Yi Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning.

Ziyi Chen, Shaocong Ma, Yi Zhou

Proceedings of the IEEE International Symposium on Information Theory, 2022

Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis.

Ziyi Chen, Yi Zhou, Rong-Rong Chen, Shaofeng Zou

Proceedings of the International Conference on Machine Learning, 2022

Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game.

Ziyi Chen, Shaocong Ma, Yi Zhou

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent.

Ziyi Chen, Qunwei Li, Yi Zhou

CoRR, 2021

Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis.

Ziyi Chen, Yi Zhou, Rongrong Chen, Shaofeng Zou

CoRR, 2021

Multi-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity.

Ziyi Chen, Yi Zhou, Rongrong Chen

CoRR, 2021

Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity.

Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou

Proceedings of the 9th International Conference on Learning Representations, 2021

Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry.

Ziyi Chen, Yi Zhou, Tengyu Xu, Yingbin Liang

Proceedings of the 9th International Conference on Learning Representations, 2021

Multi-Agent Off-Policy TDC with Near-Optimal Sample and Communication Complexity.

Ziyi Chen, Yi Zhou, Rongrong Chen

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Momentum with Variance Reduction for Nonconvex Composition Optimization.

Ziyi Chen, Yi Zhou

CoRR, 2020

FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling.

Cheng Chen, Ziyi Chen, Yi Zhou, Bhavya Kailkhura

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2015

An Effective Model Selection Criterion for Mixtures of Gaussian Processes.

Longbo Zhao, Ziyi Chen, Jinwen Ma

Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

An MCMC Based EM Algorithm for Mixtures of Gaussian Processes.

Di Wu, Ziyi Chen, Jinwen Ma

Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

The Hard-Cut EM Algorithm for Mixture of Sparse Gaussian Processes.

Ziyi Chen, Jinwen Ma

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

2014

A Precise Hard-Cut EM Algorithm for Mixtures of Gaussian Processes.

Ziyi Chen, Jinwen Ma, Yatong Zhou

Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014