A Precise Hard-Cut EM Algorithm for Mixtures of Gaussian Processes. - Ziyi Chen 002; Jinwen Ma; Yatong Zhou (ICIC (2), 2014)

The Hard-Cut EM Algorithm for Mixture of Sparse Gaussian Processes. - Ziyi Chen 002; Jinwen Ma (ICIC (3), 2015)

An MCMC Based EM Algorithm for Mixtures of Gaussian Processes. - Di Wu 027; Ziyi Chen 002; Jinwen Ma (ISNN, 2015)

An Effective Model Selection Criterion for Mixtures of Gaussian Processes. - Longbo Zhao; Ziyi Chen 002; Jinwen Ma (ISNN, 2015)

FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling. - Cheng Chen; Ziyi Chen 002; Yi Zhou 017; Bhavya Kailkhura (IEEE BigData, 2020)

Momentum with Variance Reduction for Nonconvex Composition Optimization. - Ziyi Chen 002; Yi Zhou 017 (CoRR, 2020)

Multi-Agent Off-Policy TDC with Near-Optimal Sample and Communication Complexity. - Ziyi Chen 002; Yi Zhou 017; Rongrong Chen (ACSCC, 2021)

Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry. - Ziyi Chen 002; Yi Zhou 017; Tengyu Xu; Yingbin Liang (ICLR, 2021)

Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity. - Shaocong Ma; Ziyi Chen 002; Yi Zhou 017; Shaofeng Zou (ICLR, 2021)

Multi-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity. - Ziyi Chen 002; Yi Zhou 017; Rongrong Chen (CoRR, 2021)

Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis. - Ziyi Chen 002; Yi Zhou 017; Rongrong Chen; Shaofeng Zou (CoRR, 2021)

Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent. - Ziyi Chen 002; Qunwei Li; Yi Zhou 017 (CoRR, 2021)

Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game. - Ziyi Chen 002; Shaocong Ma; Yi Zhou 017 (ICLR, 2022)

Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis. - Ziyi Chen 002; Yi Zhou 017; Rong-Rong Chen; Shaofeng Zou (ICML, 2022)

Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning. - Ziyi Chen 002; Shaocong Ma; Yi Zhou 017 (ISIT, 2022)

Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach. - Ziyi Chen 002; Shaocong Ma; Yi Zhou 017 (NeurIPS, 2022)

Data sampling affects the complexity of online SGD over dependent data. - Shaocong Ma; Ziyi Chen 002; Yi Zhou 017; Kaiyi Ji; Yingbin Liang (UAI, 2022)

A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization. - Ziyi Chen 002; Bhavya Kailkhura; Yi Zhou 017 (CoRR, 2022)

Multi-Agent Off-Policy TDC with Near-Optimal Sample and Communication Complexities. - Ziyi Chen 002; Yi Zhou 017; Rong-Rong Chen (Trans. Mach. Learn. Res., 2022)

Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization. - Ziyi Chen 002; Yi Zhou 017; Yingbin Liang; Zhaosong Lu (ICML, 2023)

Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty. - Shaocong Ma; Ziyi Chen 002; Shaofeng Zou; Yi Zhou 017 (J. Mach. Learn. Res., 2023)

On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning. - Ziyi Chen 002; Yi Zhou 017; Heng Huang (ICLR, 2024)

Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces. - Ziyi Chen 002; Heng Huang (ICML, 2024)

Delving into the Convergence of Generalized Smooth Minimax Optimization. - Wenhan Xian; Ziyi Chen 002; Heng Huang (ICML, 2024)

Robust Reinforcement Learning with General Utility. - Ziyi Chen 002; Yan Wen; Zhengmian Hu; Heng Huang (NeurIPS, 2024)

Towards Optimal Multi-draft Speculative Decoding. - Zhengmian Hu; Tong Zheng; Vignesh Viswanathan; Ziyi Chen 002; Ryan A. Rossi; Yihan Wu; Dinesh Manocha; Heng Huang (ICLR, 2025)

Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality. - Shaocong Ma; Ziyi Chen 002; Yi Zhou 017; Heng Huang (Trans. Mach. Learn. Res., 2025)

Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness. - Qi He; Peiran Yu; Ziyi Chen 002; Heng Huang (CoRR, 2025)