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Career

· Assistant Professor, Department of Statistical Sciences, University of Toronto2023–

Publications (28)

Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints
Annual Conference Computational Learning Theory · 2017
172
cited
Efficient Private ERM for Smooth Objectives
International Joint Conference on Artificial Intelligence · 2017
153
cited
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm
Journal of machine learning research · 2019
93
cited
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
Annual Conference Computational Learning Theory · 2020
87
cited
Differentially Private Clustering in High-Dimensional Euclidean Spaces
International Conference on Machine Learning · 2017
85
cited
Improved bounds for discretization of Langevin diffusions: Near-optimal rates without convexity
Bernoulli · 2019
76
cited
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible
International Conference on Machine Learning · 2017
41
cited
Dropout Training, Data-dependent Regularization, and Generalization Bounds
International Conference on Machine Learning · 2018
38
cited
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
Annual Conference Computational Learning Theory · 2021
30
cited
An Efficient Sampling Algorithm for Non-smooth Composite Potentials
Journal of machine learning research · 2019
29
cited
A Diffusion Process Perspective on Posterior Contraction Rates for Parameters
SIAM Journal on Mathematics of Data Science · 2019
16
cited
Optimal oracle inequalities for solving projected fixed-point equations
arXiv.org · 2020
15
cited
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency
arXiv.org · 2022
13
cited
On the Sample Complexity of Reinforcement Learning with Policy Space Generalization
arXiv.org · 2020
12
cited
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency
2023
11
cited
ROOT-SGD: Sharp Nonasymptotics and Near-Optimal Asymptotics in a Single Algorithm
2020
11
cited
Optimal variance-reduced stochastic approximation in Banach spaces
arXiv.org · 2022
10
cited
When is the estimated propensity score better? High-dimensional analysis and bias correction
2023
10
cited
Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing
arXiv.org · 2019
9
cited
The Impact of Local Oscillator Frequency Jitter and Laser Linewidth to Ultra High Baud Rate Coherent Systems
Journal of Lightwave Technology · 2020
9
cited
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Wenlong Mou | Researcher Profile | Sotabase | Sotabase