FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling C Chen, Z Chen, Y Zhou, B Kailkhura IEEE International Conference on Big Data, 2020 | 47 | 2020 |
A precise hard-cut EM algorithm for mixtures of Gaussian processes Z Chen, J Ma, Y Zhou Intelligent Computing Methodologies: 10th International Conference, ICIC …, 2014 | 40 | 2014 |
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry Z Chen, Y Zhou, T Xu, Y Liang International Conference on Learning Representations, 2021 | 29 | 2021 |
Sample and communication-efficient decentralized actor-critic algorithms with finite-time analysis Z Chen, Y Zhou, RR Chen, S Zou International Conference on Machine Learning, 3794-3834, 2022 | 20 | 2022 |
Greedy-GQ with variance reduction: Finite-time analysis and improved complexity S Ma, Z Chen, Y Zhou International Conference on Learning Representations, 2021 | 14 | 2021 |
Sample efficient stochastic policy extragradient algorithm for zero-sum markov game Z Chen, S Ma, Y Zhou International Conference on Learning Representations, 2021 | 13 | 2021 |
An MCMC based EM algorithm for mixtures of Gaussian processes D Wu, Z Chen, J Ma Advances in Neural Networks–ISNN 2015: 12th International Symposium on …, 2015 | 13 | 2015 |
An effective model selection criterion for mixtures of Gaussian processes L Zhao, Z Chen, J Ma Advances in Neural Networks–ISNN 2015: 12th International Symposium on …, 2015 | 11 | 2015 |
Explaining risky choices with judgments: Framing, the zero effect, and the contextual relativity of gist. VF Reyna, CJ Brainerd, Z Chen, SH Bookbinder Journal of experimental psychology: learning, memory, and cognition 47 (7), 1037, 2021 | 10 | 2021 |
The hard-cut EM algorithm for mixture of sparse Gaussian processes Z Chen, J Ma Advanced Intelligent Computing Theories and Applications: 11th International …, 2015 | 9 | 2015 |
Accelerated proximal alternating gradient-descent-ascent for nonconvex minimax machine learning Z Chen, S Ma, Y Zhou 2022 IEEE International Symposium on Information Theory (ISIT), 672-677, 2022 | 7 | 2022 |
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization Z Chen, Y Zhou, Y Liang, Z Lu International Conference on Machine Learning, 2023 | 6 | 2023 |
Finding correlated equilibrium of constrained markov game: A primal-dual approach Z Chen, S Ma, Y Zhou Advances in Neural Information Processing Systems 35, 25560-25572, 2022 | 6 | 2022 |
Multi-agent off-policy td learning: Finite-time analysis with near-optimal sample complexity and communication complexity Z Chen, Y Zhou, R Chen arXiv preprint arXiv:2103.13147, 2021 | 5 | 2021 |
An accelerated proximal algorithm for regularized nonconvex and nonsmooth bi-level optimization Z Chen, B Kailkhura, Y Zhou Machine Learning 112 (5), 1433-1463, 2023 | 4 | 2023 |
A fast and convergent proximal algorithm for regularized nonconvex and nonsmooth bi-level optimization Z Chen, B Kailkhura, Y Zhou arXiv preprint arXiv:2203.16615, 2022 | 4 | 2022 |
Momentum with variance reduction for nonconvex composition optimization Z Chen, Y Zhou arXiv preprint arXiv:2005.07755, 2020 | 4 | 2020 |
A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization Z Chen, Z Hu, Q Li, Z Wang, Y Zhou Transactions on Machine Learning Research, 2023 | 3 | 2023 |
Finding local minimax points via (stochastic) cubic-regularized gda: Global convergence and complexity Z Chen, Q Li, Y Zhou arXiv preprint arXiv:2110.07098, 6, 2021 | 3 | 2021 |
从高斯过程到高斯过程混合模型: 研究与展望 陈子一, 马尽文, 周亚同 信号处理 32 (8), 960-972, 2016 | 3* | 2016 |