Zhaoran Wang
Zhaoran Wang
Assistant Professor at Northwestern University
Verified email at northwestern.edu - Homepage
Title
Cited by
Cited by
Year
Provably Efficient Reinforcement Learning with Linear Function Approximation
C Jin, Z Yang, Z Wang, MI Jordan
Annual Conference on Learning Theory, 2020
1812020
A Nonconvex Optimization Framework for Low Rank Matrix Estimation
T Zhao, Z Wang, H Liu
Advances in Neural Information Processing Systems, 2015
177*2015
Optimal Computational and Statistical Rates of Convergence for Sparse Nonconvex Learning Problems
Z Wang, H Liu, T Zhang
Annals of Statistics, 2014
1672014
A Theoretical Analysis of Deep Q-Learning
J Fan, Z Wang, Y Xie, Z Yang
Learning for Dynamics and Control, 2020
1662020
A Strictly Contractive Peaceman--Rachford Splitting Method for Convex Programming
B He, H Liu, Z Wang, X Yuan
SIAM Journal on Optimization, 2014
1402014
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
HT Wai, Z Yang, Z Wang, M Hong
Advances in Neural Information Processing Systems, 2018
1062018
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality
Z Wang, Q Gu, Y Ning, H Liu
Advances in Neural Information Processing Systems, 2015
992015
Provably Efficient Exploration in Policy Optimization
Q Cai, Z Yang, C Jin, Z Wang
International Conference on Machine Learning, 2020
902020
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy
B Liu, Q Cai, Z Yang, Z Wang
Advances in Neural Information Processing Systems, 2019
90*2019
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence
L Wang, Q Cai, Z Yang, Z Wang
International Conference on Learning Representations, 2020
872020
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization
X Li, J Lu, R Arora, J Haupt, H Liu, Z Wang, T Zhao
IEEE Transactions on Information Theory, 2019
84*2019
Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in Polynomial Time
Z Wang, H Lu, H Liu
Advances in Neural Information Processing Systems, 2014
82*2014
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference under Nonconvexity
Z Yang, Z Wang, H Liu, YC Eldar, T Zhang
International Conference on Machine Learning, 2016
67*2016
Low-Rank and Sparse Structure Pursuit via Alternating Minimization
Q Gu, Z Wang, H Liu
International Conference on Artificial Intelligence and Statistics, 2016
662016
Neural Temporal-Difference and Q-Learning Provably Converge to Global Optima
Q Cai, Z Yang, JD Lee, Z Wang
Advances in Neural Information Processing Systems, 2019
60*2019
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost
Z Yang, Y Chen, M Hong, Z Wang
Advances in Neural Information Processing Systems, 2019
52*2019
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond
X Li, J Lu, Z Wang, J Haupt, T Zhao
arXiv preprint arXiv:1806.05159, 2018
432018
Convergent Policy Optimization for Safe Reinforcement Learning
M Yu, Z Yang, M Kolar, Z Wang
Advances in Neural Information Processing Systems, 2019
402019
Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow
KM Tan, Z Wang, H Liu, T Zhang
Journal of the Royal Statistical Society, 2018
392018
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
D Hajinezhad, M Hong, T Zhao, Z Wang
Advances in Neural Information Processing Systems, 2016
392016
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