Mou, Wenlong

10 publications

JMLR 2022 An Efficient Sampling Algorithm for Non-Smooth Composite Potentials Wenlong Mou, Nicolas Flammarion, Martin J. Wainwright, Peter L. Bartlett

COLT 2022 Optimal and Instance-Dependent Guarantees for Markovian Linear Stochastic Approximation Wenlong Mou, Ashwin Pananjady, Martin Wainwright, Peter Bartlett

COLT 2022 ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm Chris Junchi Li, Wenlong Mou, Martin Wainwright, Michael Jordan

JMLR 2021 High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan

COLT 2020 On Linear Stochastic Approximation: Fine-Grained Polyak-Ruppert and Non-Asymptotic Concentration Wenlong Mou, Chris Junchi Li, Martin J Wainwright, Peter L Bartlett, Michael I Jordan

ICML 2018 Dropout Training, Data-Dependent Regularization, and Generalization Bounds Wenlong Mou, Yuchen Zhou, Jun Gao, Liwei Wang

COLT 2018 Generalization Bounds of SGLD for Non-Convex Learning: Two Theoretical Viewpoints Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng

ICML 2017 Collect at Once, Use Effectively: Making Non-Interactive Locally Private Learning Possible Kai Zheng, Wenlong Mou, Liwei Wang

ICML 2017 Differentially Private Clustering in High-Dimensional Euclidean Spaces Maria-Florina Balcan, Travis Dick, Yingyu Liang, Wenlong Mou, Hongyang Zhang

IJCAI 2017 Efficient Private ERM for Smooth Objectives Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang