Implicit Regularization for Optimal Sparse Recovery. - Tomas Vaskevicius; Varun Kanade; Patrick Rebeschini (NeurIPS, 2019)

The Statistical Complexity of Early-Stopped Mirror Descent. - Tomas Vaskevicius; Varun Kanade; Patrick Rebeschini (NeurIPS, 2020)

Suboptimality of Constrained Least Squares and Improvements via Non-Linear Predictors. - Tomas Vaskevicius; Nikita Zhivotovskiy (CoRR, 2020)

Distribution-Free Robust Linear Regression. - Jaouad Mourtada; Tomas Vaskevicius; Nikita Zhivotovskiy (CoRR, 2021)

Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition. - Varun Kanade; Patrick Rebeschini; Tomas Vaskevicius (CoRR, 2022)

Local Risk Bounds for Statistical Aggregation. - Jaouad Mourtada; Tomas Vaskevicius; Nikita Zhivotovskiy (COLT, 2023)

Computational Guarantees for Doubly Entropic Wasserstein Barycenters. - Tomas Vaskevicius; Lénaïc Chizat (NeurIPS, 2023)

Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations. - Lénaïc Chizat; Tomas Vaskevicius (CoRR, 2023)