| Stochastic optimization under time drift: iterate averaging, step decay, and high-probability guarantees J Cutler, D Drusvyatskiy, Z Harchaoui Advances in Neural Information Processing Systems 34, 11859-11869, 2021 | 18 | 2021 |
| Stochastic Optimization under Distributional Drift J Cutler, D Drusvyatskiy, Z Harchaoui Journal of Machine Learning Research 24 (147), 1-56, 2023 | 6 | 2023 |
| Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality J Cutler, M Díaz, D Drusvyatskiy Journal of Machine Learning Research 25 (90), 1-49, 2024 | 5 | 2024 |
| The radius of statistical efficiency J Cutler, M Díaz, D Drusvyatskiy arXiv preprint arXiv:2405.09676, 2024 | | 2024 |
| Stochastic Approximation with Dynamic Distributions JR Cutler University of Washington, 2023 | | 2023 |
Dmitriy DrusvyatskiyUniversity of WashingtonAdresse e-mail validée de uw.edu
