| A Nonconvex Optimization Framework for Low Rank Matrix Estimation T Zhao, Z Wang, H Liu Advances in Neural Information Processing Systems, 2015 | 166* | 2015 |
| Optimal Computational and Statistical Rates of Convergence for Sparse Nonconvex Learning Problems Z Wang, H Liu, T Zhang Annals of Statistics, 2014 | 160 | 2014 |
| A Strictly Contractive Peaceman--Rachford Splitting Method for Convex Programming B He, H Liu, Z Wang, X Yuan SIAM Journal on Optimization, 2014 | 136 | 2014 |
| A Theoretical Analysis of Deep Q-Learning J Fan, Z Wang, Y Xie, Z Yang Learning for Dynamics and Control, 2020 | 131 | 2020 |
| Provably Efficient Reinforcement Learning with Linear Function Approximation C Jin, Z Yang, Z Wang, MI Jordan Annual Conference on Learning Theory, 2020 | 127 | 2020 |
| 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 | 97 | 2015 |
| 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 | 89 | 2018 |
| Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in Polynomial Time Z Wang, H Lu, H Liu Advances in Neural Information Processing Systems, 2014 | 79* | 2014 |
| 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 | 73* | 2019 |
| Provably Efficient Exploration in Policy Optimization Q Cai, Z Yang, C Jin, Z Wang International Conference on Machine Learning, 2020 | 70 | 2020 |
| Low-Rank and Sparse Structure Pursuit via Alternating Minimization Q Gu, Z Wang, H Liu International Conference on Artificial Intelligence and Statistics, 2016 | 64 | 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 | 64* | 2016 |
| 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 | 63* | 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 | 59 | 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 | 47 | 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 | 41* | 2019 |
| 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 | 41 | 2016 |
| Optimal Linear Estimation under Unknown Nonlinear Transform X Yi, Z Wang, C Caramanis, H Liu Advances in Neural Information Processing Systems, 2015 | 40 | 2015 |
| 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 | 37 | 2018 |
| 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 | 32 | 2018 |
