Wenlong Mou | DeepAI

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∙ 09/26/2022

Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency

The problem of estimating a linear functional based on observational dat...

0 Wenlong Mou, et al. ∙

∙ 01/21/2022

Optimal variance-reduced stochastic approximation in Banach spaces

We study the problem of estimating the fixed point of a contractive oper...

8 Wenlong Mou, et al. ∙

∙ 12/23/2021

Optimal and instance-dependent guarantees for Markovian linear stochastic approximation

We study stochastic approximation procedures for approximately solving a...

0 Wenlong Mou, et al. ∙

∙ 12/09/2020

Optimal oracle inequalities for solving projected fixed-point equations

Linear fixed point equations in Hilbert spaces arise in a variety of set...

0 Wenlong Mou, et al. ∙

∙ 08/28/2020

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

The theory and practice of stochastic optimization has focused on stocha...

19 Chris Junchi Li, et al. ∙

∙ 08/17/2020

On the Sample Complexity of Reinforcement Learning with Policy Space Generalization

We study the optimal sample complexity in large-scale Reinforcement Lear...

14 Wenlong Mou, et al. ∙

∙ 04/09/2020

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

We undertake a precise study of the asymptotic and non-asymptotic proper...

3 Wenlong Mou, et al. ∙

∙ 12/11/2019

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

We study the problem of sampling from the power posterior distribution i...

27 Wenlong Mou, et al. ∙

∙ 10/01/2019

An Efficient Sampling Algorithm for Non-smooth Composite Potentials

We consider the problem of sampling from a density of the form p(x) ∝(-f...

24 Wenlong Mou, et al. ∙

∙ 09/03/2019

A Diffusion Process Perspective on Posterior Contraction Rates for Parameters

We show that diffusion processes can be exploited to study the posterior...

0 Wenlong Mou, et al. ∙

∙ 08/28/2019

High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm

We propose a Markov chain Monte Carlo (MCMC) algorithm based on third-or...

12 Wenlong Mou, et al. ∙

∙ 07/25/2019

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

We present an improved analysis of the Euler-Maruyama discretization of ...

1 Wenlong Mou, et al. ∙

∙ 07/19/2017

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

Algorithm-dependent generalization error bounds are central to statistic...

0 Wenlong Mou, et al. ∙

∙ 03/29/2017

Efficient Private ERM for Smooth Objectives

In this paper, we consider efficient differentially private empirical ri...

0 Jiaqi Zhang, et al. ∙

∙ 12/14/2016

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

It is believed that hippocampus functions as a memory allocator in brain...

0 Wenlong Mou, et al. ∙

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