| Near-optimal time and sample complexities for solving Markov decision processes with a generative model A Sidford, M Wang, X Wu, L Yang, Y Ye Advances in Neural Information Processing Systems 31, 2018 | 255 | 2018 |
| Variance reduced value iteration and faster algorithms for solving Markov decision processes A Sidford, M Wang, X Wu, Y Ye Naval Research Logistics (NRL) 70 (5), 423-442, 2023 | 148 | 2023 |
| Least squares regression with markovian data: Fundamental limits and algorithms D Nagaraj, X Wu, G Bresler, P Jain, P Netrapalli Advances in neural information processing systems 33, 16666-16676, 2020 | 73 | 2020 |
| Near-optimal time and sample complexities for solving discounted Markov decision process with a generative model A Sidford, M Wang, X Wu, LF Yang, Y Ye arXiv preprint arXiv:1806.01492, 2018 | 25 | 2018 |
| Local density estimation in high dimensions X Wu, M Charikar, V Natchu ICML 2018: International Conference on Machine Learning, 2018 | 22 | 2018 |
| Nearest Neighbor Search for Hyperbolic Embeddings X Wu, M Charikar arXiv preprint arXiv:2009.00836v1, 0 | 4* | |
| Developing Data Efficient Algorithms in Artificial Intelligence X Wu Stanford University, 2021 | | 2021 |
| Adaptive Discrete Phase Retrieval M Charikar, X Wu, Y Ye Symposium on Simplicity in Algorithms, 47-56, 2020 | | 2020 |
| Near-Optimal Time and Sample Complexities for Solving Discounted Markov A Sidford, M Wang, X Wu | | 2019 |
