Tomas Vaskevicius

13 papers A* 4Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sharper exponential convergence rates for Sinkhorn's algorithm in continuous settings.
Math. Program.
Lénaïc Chizat, Alex Delalande, Tomas Vaskevicius
2024 J jnl
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition.
J. Mach. Learn. Res.
Varun Kanade, Patrick Rebeschini, Tomas Vaskevicius
2023 J jnl
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations.
CoRR
Lénaïc Chizat, Tomas Vaskevicius
2023 A* conf
Computational Guarantees for Doubly Entropic Wasserstein Barycenters.
NeurIPS
Tomas Vaskevicius, Lénaïc Chizat
2023 A* conf
Local Risk Bounds for Statistical Aggregation.
COLT
Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy
2023 J jnl
Local Risk Bounds for Statistical Aggregation.
CoRR
Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy
2022 J jnl
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition.
CoRR
Varun Kanade, Patrick Rebeschini, Tomas Vaskevicius
2021 J jnl
Distribution-Free Robust Linear Regression.
CoRR
Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy
2020 J jnl
Suboptimality of Constrained Least Squares and Improvements via Non-Linear Predictors.
CoRR
Tomas Vaskevicius, Nikita Zhivotovskiy
2020 J jnl
The Statistical Complexity of Early Stopped Mirror Descent.
CoRR
Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini
2020 A* conf
The Statistical Complexity of Early-Stopped Mirror Descent.
NeurIPS
Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini
2019 A* conf
Implicit Regularization for Optimal Sparse Recovery.
NeurIPS
Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini
2019 J jnl
Implicit Regularization for Optimal Sparse Recovery.
CoRR
Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini