Implicit regularization for optimal sparse recovery T Vaškevičius, V Kanade, P Rebeschini NeurIPS 2019, 2019 | 95* | 2019 |
The statistical complexity of early-stopped mirror descent V Kanade, P Rebeschini, T Vaškevičius Information and Inference: A Journal of the IMA 12 (4), 2023 | 24* | 2023 |
Distribution-free robust linear regression J Mourtada, T Vaškevicius, N Zhivotovskiy Mathematical Statistics and Learning 4 (3), 253--292, 2021 | 24 | 2021 |
Suboptimality of constrained least squares and improvements via non-linear predictors T Vaškevičius, N Zhivotovskiy Bernoulli 29 (1), 473-495, 2020 | 15 | 2020 |
Exponential tail local rademacher complexity risk bounds without the bernstein condition V Kanade, P Rebeschini, T Vaskevicius arXiv preprint arXiv:2202.11461, 2022 | 8 | 2022 |
Local Risk Bounds for Statistical Aggregation J Mourtada, T Vaškevičius, N Zhivotovskiy The Thirty Sixth Annual Conference on Learning Theory, 5697-5698, 2023 | 2 | 2023 |
Computational Guarantees for Doubly Entropic Wasserstein Barycenters T Vaskevicius, L Chizat NeurIPS 2023, 2023 | | 2023 |
Risk bounds for improper prediction procedures T Vaskevicius University of Oxford, 2022 | | 2022 |