| Statistical inference for model parameters in stochastic gradient descent X Chen, JD Lee, XT Tong, Y Zhang The Annals of Statistics 48 (1), 251-273, 2020 | 185 | 2020 |
| Quantile regression under memory constraint X Chen, W Liu, Y Zhang The Annals of Statistics 47 (6), 3244-3273, 2019 | 179 | 2019 |
| First-order newton-type estimator for distributed estimation and inference X Chen, W Liu, Y Zhang Journal of the American Statistical Association 117 (540), 1858-1874, 2022 | 58 | 2022 |
| Online statistical inference for stochastic optimization via Kiefer-Wolfowitz methods X Chen, Z Lai, H Li, Y Zhang Journal of the American Statistical Association 119 (548), 2972–2982, 2024 | 21* | 2024 |
| Multi-task learning via generalized tensor trace norm Y Zhang, Y Zhang, W Wang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 19 | 2021 |
| Online statistical inference for contextual bandits via stochastic gradient descent X Chen, Z Lai, H Li, Y Zhang arXiv preprint arXiv:2212.14883, 2022 | 12 | 2022 |
| Online statistical inference for matrix contextual bandit Q Han, WW Sun, Y Zhang arXiv preprint arXiv:2212.11385, 2022 | 12 | 2022 |
| Variance reduction on general adaptive stochastic mirror descent W Li, Z Wang, Y Zhang, G Cheng Machine Learning 111, 4639–4677, 2022 | 10* | 2022 |
| Distributed tensor principal component analysis E Chen, X Chen, W Jing, Y Zhang arXiv preprint arXiv:2405.11681, 2024 | 6 | 2024 |
| Distributed Estimation and Inference for Semi-parametric Binary Response Models X Chen, W Jing, W Liu, Y Zhang The Annals of Statistics 52 (3), 922-947, 2024 | 5 | 2024 |
| Online estimation and inference for robust policy evaluation in reinforcement learning W Liu, J Tu, Y Zhang, X Chen arXiv preprint arXiv:2310.02581, 2023 | 4 | 2023 |
| Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality K Tang, W Liu, Y Zhang, X Chen arXiv preprint arXiv:2305.17665, 2023 | 4 | 2023 |
| Information Design and Sharing in Supply Chains R Caldentey, A Giloni, C Hurvich, Y Zhang Mathematics of Operations Research, 2024 | 2 | 2024 |
| The impact of profit differentials on the value of a little flexibility S Wang, J Zhang, Y Zhang Available at SSRN 4413821, 2023 | 2 | 2023 |
| Online Tensor Inference X Wen, WW Sun, Y Zhang arXiv preprint arXiv:2312.17111, 2023 | 1 | 2023 |
| Adaptive Data Fusion for Multi-task Non-smooth Optimization H Lam, K Wang, Y Wu, Y Zhang arXiv preprint arXiv:2210.12334, 2022 | 1 | 2022 |
| Supplement to “Statistical inference for model parameters in stochastic gradient descent.” X Chen, JD Lee, XT Tong, Y Zhang | 1 | 2020 |
| Managing Inventory and Information in Supply Chains R Caldentey, AH Giloni, C Hurvich, Y Zhang Available at SSRN 5077356, 2024 | | 2024 |
| Estimation of α, β and portfolio weights in a pure-jump model with long memory in volatility Y Zhang, CM Hurvich Stochastic Processes and their Applications 150, 972-994, 2022 | | 2022 |
Xi ChenProfessor at New York UniversityVerified email at nyu.edu
