Dmitriy Drusvyatskiy
University of Washington
H-index: 30
North America-United States
Top articles of Dmitriy Drusvyatskiy
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Stochastic approximation with decision-dependent distributions: asymptotic normality and optimality | Journal of Machine Learning Research | Joshua Cutler Mateo Díaz Dmitriy Drusvyatskiy | 2024 |
Flat minima generalize for low-rank matrix recovery | arXiv preprint arXiv:2203.03756 | Lijun Ding Dmitriy Drusvyatskiy Maryam Fazel Zaid Harchaoui | 2022/3/7 |
Aiming towards the minimizers: fast convergence of SGD for overparametrized problems | Advances in neural information processing systems | Chaoyue Liu Dmitriy Drusvyatskiy Misha Belkin Damek Davis Yian Ma | 2024/2/13 |
Linear Recursive Feature Machines provably recover low-rank matrices | arXiv preprint arXiv:2401.04553 | Adityanarayanan Radhakrishnan Mikhail Belkin Dmitriy Drusvyatskiy | 2024/1/9 |
Asymptotic normality and optimality in nonsmooth stochastic approximation | arXiv preprint arXiv:2301.06632 | Damek Davis Dmitriy Drusvyatskiy Liwei Jiang | 2023/1/16 |
Stochastic optimization under distributional drift | Journal of machine learning research | Joshua Cutler Dmitriy Drusvyatskiy Zaid Harchaoui | 2023 |
The slope robustly determines convex functions | Proceedings of the American Mathematical Society | Aris Daniilidis Dmitriy Drusvyatskiy | 2023/11 |
Multiplayer performative prediction: Learning in decision-dependent games | Journal of Machine Learning Research | Adhyyan Narang Evan Faulkner Dmitriy Drusvyatskiy Maryam Fazel Lillian J Ratliff | 2023 |
SGD batch saturation for training wide neural networks | Chaoyue Liu Dmitriy Drusvyatskiy Mikhail Belkin Damek Davis Yian Ma | 2023/10/13 | |
Stochastic algorithms with geometric step decay converge linearly on sharp functions | Mathematical Programming | Damek Davis Dmitriy Drusvyatskiy Vasileios Charisopoulos | 2023/9/5 |
Stochastic optimization with decision-dependent distributions | Mathematics of Operations Research | Dmitriy Drusvyatskiy Lin Xiao | 2023/5 |
Decision-dependent risk minimization in geometrically decaying dynamic environments | Proceedings of the AAAI Conference on Artificial Intelligence | Mitas Ray Lillian J Ratliff Dmitriy Drusvyatskiy Maryam Fazel | 2022/6/28 |
Conservative and semismooth derivatives are equivalent for semialgebraic maps | Set-Valued and Variational Analysis | Damek Davis Dmitriy Drusvyatskiy | 2022/6 |
Proximal methods avoid active strict saddles of weakly convex functions | Foundations of Computational Mathematics | Damek Davis Dmitriy Drusvyatskiy | 2022/4 |
Graphical convergence of subgradients in nonconvex optimization and learning | Mathematics of Operations Research | Damek Davis Dmitriy Drusvyatskiy | 2022/2 |
Improved rates for derivative free gradient play in strongly monotone games | Dmitriy Drusvyatskiy Maryam Fazel Lillian J Ratliff | 2022 | |
Escaping strict saddle points of the Moreau envelope in nonsmooth optimization | SIAM Journal on Optimization | Damek Davis Mateo Díaz Dmitriy Drusvyatskiy | 2022 |
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions | Advances in neural information processing systems | Damek Davis Dmitriy Drusvyatskiy Yin Tat Lee Swati Padmanabhan Guanghao Ye | 2022/12/6 |
Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence | Foundations of Computational Mathematics | Vasileios Charisopoulos Yudong Chen Damek Davis Mateo Díaz Lijun Ding | 2021/12 |
Composite optimization for robust rank one bilinear sensing | Information and Inference: A Journal of the IMA | Vasileios Charisopoulos Damek Davis Mateo Díaz Dmitriy Drusvyatskiy | 2021/6 |
