| Provably Efficient Reinforcement Learning with Linear Function Approximation C Jin, Z Yang, Z Wang, MI Jordan Annual Conference on Learning Theory, 2020 | 342 | 2020 |
| A Theoretical Analysis of Deep Q-Learning J Fan, Z Wang, Y Xie, Z Yang Learning for Dynamics and Control, 2020 | 323 | 2020 |
| Optimal Computational and Statistical Rates of Convergence for Sparse Nonconvex Learning Problems Z Wang, H Liu, T Zhang Annals of Statistics, 2014 | 179 | 2014 |
| A Nonconvex Optimization Framework for Low Rank Matrix Estimation T Zhao, Z Wang, H Liu Advances in Neural Information Processing Systems, 2015 | 175* | 2015 |
| A Strictly Contractive Peaceman--Rachford Splitting Method for Convex Programming B He, H Liu, Z Wang, X Yuan SIAM Journal on Optimization, 2014 | 160 | 2014 |
| Provably Efficient Exploration in Policy Optimization Q Cai, Z Yang, C Jin, Z Wang International Conference on Machine Learning, 2020 | 155 | 2020 |
| 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 | 140 | 2018 |
| Neural Policy Gradient Methods: Global Optimality and Rates of Convergence L Wang, Q Cai, Z Yang, Z Wang International Conference on Learning Representations, 2020 | 135 | 2020 |
| 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 | 130* | 2019 |
| 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 | 102 | 2015 |
| Is Pessimism Provably Efficient for Offline RL? Y Jin, Z Yang, Z Wang International Conference on Machine Learning, 2021 | 94 | 2021 |
| 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 | 90* | 2019 |
| A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic M Hong, HT Wai, Z Wang, Z Yang arXiv preprint arXiv:2007.05170, 2020 | 83 | 2020 |
| 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 | 83 | 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 |
| 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 | 75 | 2019 |
| Low-Rank and Sparse Structure Pursuit via Alternating Minimization Q Gu, Z Wang, H Liu International Conference on Artificial Intelligence and Statistics, 2016 | 73 | 2016 |
| 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 | 71* | 2016 |
| Provably Efficient Safe Exploration via Primal-Dual Policy Optimization D Ding, X Wei, Z Yang, Z Wang, MR Jovanović International Conference on Artificial Intelligence and Statistics, 2021 | 69 | 2021 |
| Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium Q Xie, Y Chen, Z Wang, Z Yang Annual Conference on Learning Theory, 2020 | 62 | 2020 |
