Wenlong Mou

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Stochastic Approximation

Reinforcement Learning

Fundamental Limits

Top Venues

J. Mach. Learn. Res.

Publications

Wenlong Mou, Yuhua Zhu
On Bellman equations for continuous-time policy evaluation I: discretization and approximation. CoRR (2024)
Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
A Diffusion Process Perspective on Posterior Contraction Rates for Parameters. SIAM J. Math. Data Sci. 6 (2) (2024)
Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright, Peter L. Bartlett
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation. COLT (2022)
Wenlong Mou, Martin J. Wainwright, Peter L. Bartlett
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency. CoRR (2022)
Chris Junchi Li, Wenlong Mou, Martin J. Wainwright, Michael I. Jordan
ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm. COLT (2022)
Wenlong Mou, Nicolas Flammarion, Martin J. Wainwright, Peter L. Bartlett
An Efficient Sampling Algorithm for Non-smooth Composite Potentials. J. Mach. Learn. Res. 23 (2022)
Wenlong Mou, Koulik Khamaru, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
Optimal variance-reduced stochastic approximation in Banach spaces. CoRR (2022)
Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright, Peter L. Bartlett
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation. CoRR (2021)
Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm. J. Mach. Learn. Res. 22 (2021)
Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright
Optimal oracle inequalities for solving projected fixed-point equations. CoRR (2020)
Chris Junchi Li, Wenlong Mou, Martin J. Wainwright, Michael I. Jordan
ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm. CoRR (2020)
Wenlong Mou, Zheng Wen, Xi Chen
On the Sample Complexity of Reinforcement Learning with Policy Space Generalization. CoRR (2020)
Wenlong Mou, Chris Junchi Li, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration. CoRR (2020)
Wenlong Mou, Chris Junchi Li, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration. COLT (2020)
Wenlong Mou, Nicolas Flammarion, Martin J. Wainwright, Peter L. Bartlett
An Efficient Sampling Algorithm for Non-smooth Composite Potentials. CoRR (2019)
Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm. CoRR (2019)
Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan
Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing. CoRR (2019)
Wenlong Mou, Yuchen Zhou, Jun Gao, Liwei Wang
Dropout Training, Data-dependent Regularization, and Generalization Bounds. ICML (2018)
Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. COLT (2018)
Wenlong Mou, Liwei Wang
A Refined Analysis of LSH for Well-dispersed Data Points. ANALCO (2017)
Kai Zheng, Wenlong Mou, Liwei Wang
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible. ICML (2017)
Kai Zheng, Wenlong Mou, Liwei Wang
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible. CoRR (2017)
Maria-Florina Balcan, Travis Dick, Yingyu Liang, Wenlong Mou, Hongyang Zhang
Differentially Private Clustering in High-Dimensional Euclidean Spaces. ICML (2017)
Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang
Efficient Private ERM for Smooth Objectives. IJCAI (2017)
Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. CoRR (2017)
Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang
Efficient Private ERM for Smooth Objectives. CoRR (2017)
Wenlong Mou, Liwei Wang
A Refined Analysis of LSH for Well-dispersed Data Points. CoRR (2016)
Wenlong Mou, Zhi Wang, Liwei Wang
Stable Memory Allocation in the Hippocampus: Fundamental Limits and Neural Realization. CoRR (2016)
Wenlong Mou, Ni Sun, Junhao Zhang, Zhixuan Yang, Junfeng Hu
Politicize and Depoliticize: A Study of Semantic Shifts on People's Daily Fifty Years' Corpus via Distributed Word Representation Space. CLSW (2015)