Tomas Vaskevicius

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Linear Regression

Constrained Least Squares

Regularization Parameter

Top Venues

Publications

Lénaïc Chizat, Tomas Vaskevicius
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations. CoRR (2023)
Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy
Local Risk Bounds for Statistical Aggregation. COLT (2023)
Tomas Vaskevicius, Lénaïc Chizat
Computational Guarantees for Doubly Entropic Wasserstein Barycenters. NeurIPS (2023)
Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy
Local Risk Bounds for Statistical Aggregation. CoRR (2023)
Varun Kanade, Patrick Rebeschini, Tomas Vaskevicius
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition. CoRR (2022)
Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy
Distribution-Free Robust Linear Regression. CoRR (2021)
Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini
The Statistical Complexity of Early-Stopped Mirror Descent. NeurIPS (2020)
Tomas Vaskevicius, Nikita Zhivotovskiy
Suboptimality of Constrained Least Squares and Improvements via Non-Linear Predictors. CoRR (2020)
Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini
The Statistical Complexity of Early Stopped Mirror Descent. CoRR (2020)
Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini
Implicit Regularization for Optimal Sparse Recovery. CoRR (2019)
Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini
Implicit Regularization for Optimal Sparse Recovery. NeurIPS (2019)