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Tomas Vaskevicius
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7
Sharper Exponential Convergence Rates for Sinkhorn's Algorithm in Continuous Settings
1 July 2024 by
Lénaïc Chizat
and
others
Optimization and Control
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations
25 July 2023 by
Lénaïc Chizat
and
Tomas Vaskevicius
Optimization and Control
,
Machine Learning
Local Risk Bounds for Statistical Aggregation
29 June 2023 by
Jaouad Mourtada
and
others
Statistics Theory
,
Information Theory
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition
23 February 2022 by
Varun Kanade
and
others
Statistics Theory
,
Machine Learning
Distribution-Free Robust Linear Regression
21 October 2021 by
Jaouad Mourtada
and
others
Statistics Theory
,
Machine Learning
Suboptimality of Constrained Least Squares and Improvements via Non-Linear Predictors
7 March 2021 by
Tomas Vaskevicius
and
Nikita Zhivotovskiy
Statistics Theory
,
Machine Learning
The Statistical Complexity of Early-Stopped Mirror Descent
27 August 2020 by
Tomas Vaskevicius
and
others
Machine Learning
Implicit Regularization for Optimal Sparse Recovery
11 September 2019 by
Tomas Vaskevicius
and
others
Machine Learning
,
Signal Processing
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Machine Learning
Statistics Theory
Information Theory
Optimization and Control
Signal Processing