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List of works by Zhaoran Wang

A Nonconvex Optimization Framework for Low Rank Matrix Estimation

scientific article published on January 2015

A Nonconvex Optimization Framework for Low Rank Matrix Estimation

A STRICTLY CONTRACTIVE PEACEMAN-RACHFORD SPLITTING METHOD FOR CONVEX PROGRAMMING

scientific article published on July 2014

Agnostic Estimation for Misspecified Phase Retrieval Models

scientific article published in January 2016

Blind Attacks on Machine Learners

scientific article published in January 2016

Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory

scientific article published in November 2020

Contrastive Learning from Pairwise Measurements

Convergent Policy Optimization for Safe Reinforcement Learning

scientific article published in January 2019

Dynamic Regret of Policy Optimization in Non-Stationary Environments

scientific article published in November 2020

End-to-End Learning and Intervention in Games

Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma

scientific article published in January 2017

High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality

scientific article published on January 2015

High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality

More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning

scientific article published in January 2016

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization

scholarly article by Hoi-To Wai et al published 2018 in Advances in Neural Information Processing Systems 31

NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization

scientific article published in January 2016

Neural Temporal-Difference Learning Converges to Global Optima

Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy

article by Boyi Liu et al published 2019 in Advances in Neural Information Processing Systems 32

Non-convex Statistical Optimization for Sparse Tensor Graphical Model

scientific article

Non-convex Statistical Optimization for Sparse Tensor Graphical Model

OPTIMAL COMPUTATIONAL AND STATISTICAL RATES OF CONVERGENCE FOR SPARSE NONCONVEX LEARNING PROBLEMS.

scientific article published in January 2014

Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes

scientific article published in January 2016

Optimal Linear Estimation under Unknown Nonlinear Transform

Optimal linear estimation under unknown nonlinear transform

scientific article published on January 2015

Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework

Provable Gaussian Embedding with One Observation

Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach

Provably Efficient Neural GTD for Off-Policy Learning

scientific article published in November 2020

Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations

scientific article published in November 2020

Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost

Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret

scholarly article by Yingjie Fei et al published November 2020 in Advances in Neural Information Processing Systems 33

Sparse PCA with Oracle Property

scientific article published in January 2014

Sparse PCA with Oracle Property.

scientific article published in January 2014

Statistical-Computational Tradeoff in Single Index Models

Tensor Graphical Model: Non-convex Optimization and Statistical Inference

scientific article published on 26 March 2019

Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time

scientific article published in January 2014

Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time.

scientific article published in January 2014

Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss

scientific article published in November 2020

Variance Reduced Policy Evaluation with Smooth Function Approximation