| Online convex optimization with stochastic constraints H Yu, M Neely, X Wei Advances in Neural Information Processing Systems 30, 2017 | 239 | 2017 |
| Provably efficient safe exploration via primal-dual policy optimization D Ding, X Wei, Z Yang, Z Wang, M Jovanovic International conference on artificial intelligence and statistics, 3304-3312, 2021 | 184 | 2021 |
| DOA Estimation Based on Sparse Signal Recovery Utilizing Weighted-Norm Penalty X Xu, X Wei, Z Ye IEEE signal processing letters 19 (3), 155-158, 2012 | 170 | 2012 |
| Upper confidence primal-dual reinforcement learning for cmdp with adversarial loss S Qiu, X Wei, Z Yang, J Ye, Z Wang Advances in Neural Information Processing Systems 33, 15277-15287, 2020 | 69* | 2020 |
| Online primal-dual mirror descent under stochastic constraints X Wei, H Yu, MJ Neely Proceedings of the ACM on Measurement and Analysis of Computing Systems 4 (2 …, 2020 | 66 | 2020 |
| DOA estimation using a greedy block coordinate descent algorithm X Wei, Y Yuan, Q Ling IEEE Transactions on Signal Processing 60 (12), 6382-6394, 2012 | 60 | 2012 |
| Training recommender systems at scale: Communication-efficient model and data parallelism V Gupta, D Choudhary, P Tang, X Wei, X Wang, Y Huang, A Kejariwal, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 52* | 2021 |
| Structured signal recovery from non-linear and heavy-tailed measurements L Goldstein, S Minsker, X Wei IEEE Transactions on Information Theory 64 (8), 5513-5530, 2018 | 45 | 2018 |
| Estimation of the covariance structure of heavy-tailed distributions X Wei, S Minsker Advances in neural information processing systems 30, 2017 | 45 | 2017 |
| Single-timescale stochastic nonconvex-concave optimization for smooth nonlinear td learning S Qiu, Z Yang, X Wei, J Ye, Z Wang arXiv preprint arXiv:2008.10103, 2020 | 41 | 2020 |
| Robust one-bit recovery via relu generative networks: Improved statistical rates and global landscape analysis S Qiu, X Wei, Z Yang arXiv preprint arXiv:1908.05368, 2019 | 34* | 2019 |
| Robust modifications of U-statistics and applications to covariance estimation problems S Minsker, X Wei | 33 | 2020 |
| Online learning in weakly coupled markov decision processes: A convergence time study X Wei, H Yu, MJ Neely Proceedings of the ACM on Measurement and Analysis of Computing Systems 2 (1 …, 2018 | 29 | 2018 |
| On the statistical rate of nonlinear recovery in generative models with heavy-tailed data X Wei, Z Yang, Z Wang International Conference on Machine Learning, 6697-6706, 2019 | 27 | 2019 |
| DHEN: A deep and hierarchical ensemble network for large-scale click-through rate prediction B Zhang, L Luo, X Liu, J Li, Z Chen, W Zhang, X Wei, Y Hao, M Tsang, ... arXiv preprint arXiv:2203.11014, 2022 | 24 | 2022 |
| Solving Non-smooth Constrained Programs with Lower Complexity than : A Primal-Dual Homotopy Smoothing Approach X Wei, H Yu, Q Ling, M Neely Advances in neural information processing systems 31, 2018 | 17 | 2018 |
| Fast multi-agent temporal-difference learning via homotopy stochastic primal-dual optimization D Ding, X Wei, Z Yang, Z Wang, M R Jovanovic arXiv preprint arXiv:1908.02805, 2019 | 16 | 2019 |
| Provably efficient fictitious play policy optimization for zero-sum Markov games with structured transitions S Qiu, X Wei, J Ye, Z Wang, Z Yang International Conference on Machine Learning, 8715-8725, 2021 | 14 | 2021 |
| Power-aware wireless file downloading: A Lyapunov indexing approach to a constrained restless bandit problem X Wei, MJ Neely IEEE/ACM Transactions on Networking 24 (4), 2264-2277, 2015 | 14* | 2015 |
| AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models F Lai, W Zhang, R Liu, W Tsai, X Wei, Y Hu, S Devkota, J Huang, J Park, ... 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI'23), 2023 | 13 | 2023 |
Michael J. NeelyUniversity of Southern California, Department of Electrical EngineeringVerified email at usc.edu
