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ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm

Aug 28, 2020
Chris Junchi Li, Wenlong Mou, Martin J. Wainwright, Michael I. Jordan


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On the Sample Complexity of Reinforcement Learning with Policy Space Generalization

Aug 17, 2020
Wenlong Mou, Zheng Wen, Xi Chen


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On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration

Apr 09, 2020
Wenlong Mou, Chris Junchi Li, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan


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Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing

Dec 11, 2019
Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan


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An Efficient Sampling Algorithm for Non-smooth Composite Potentials

Oct 01, 2019
Wenlong Mou, Nicolas Flammarion, Martin J. Wainwright, Peter L. Bartlett


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High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm

Aug 28, 2019
Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan


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Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity

Jul 25, 2019
Wenlong Mou, Nicolas Flammarion, Martin J. Wainwright, Peter L. Bartlett


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Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints

Jul 19, 2017
Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng


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Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible

Jun 11, 2017
Kai Zheng, Wenlong Mou, Liwei Wang


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Efficient Private ERM for Smooth Objectives

May 24, 2017
Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang


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Stable Memory Allocation in the Hippocampus: Fundamental Limits and Neural Realization

Dec 14, 2016
Wenlong Mou, Zhi Wang, Liwei Wang


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