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Distribution-Free Robust Linear Regression

Distribution-Free Robust Linear Regression

25 February 2021
Jaouad Mourtada
Tomas Vaskevicius
Nikita Zhivotovskiy
    OOD
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Papers citing "Distribution-Free Robust Linear Regression"

8 / 8 papers shown
Title
High-Probability Risk Bounds via Sequential Predictors
High-Probability Risk Bounds via Sequential Predictors
Dirk van der Hoeven
Nikita Zhivotovskiy
Nicolò Cesa-Bianchi
OffRL
36
2
0
15 Aug 2023
Exploring Local Norms in Exp-concave Statistical Learning
Exploring Local Norms in Exp-concave Statistical Learning
Nikita Puchkin
Nikita Zhivotovskiy
73
2
0
21 Feb 2023
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
Vivien A. Cabannes
B. Kiani
Randall Balestriero
Yann LeCun
A. Bietti
SSL
16
31
0
06 Feb 2023
The One-Inclusion Graph Algorithm is not Always Optimal
The One-Inclusion Graph Algorithm is not Always Optimal
Ishaq Aden-Ali
Yeshwanth Cherapanamjeri
Abhishek Shetty
Nikita Zhivotovskiy
23
7
0
19 Dec 2022
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial
  Corruption and Heavy Tails
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails
Pedro Abdalla
Nikita Zhivotovskiy
30
25
0
17 May 2022
Exponential Tail Local Rademacher Complexity Risk Bounds Without the
  Bernstein Condition
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition
Varun Kanade
Patrick Rebeschini
Tomas Vaskevicius
22
10
0
23 Feb 2022
Improved Learning Rates for Stochastic Optimization: Two Theoretical
  Viewpoints
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints
Shaojie Li
Yong Liu
20
13
0
19 Jul 2021
Learning without Concentration
Learning without Concentration
S. Mendelson
85
334
0
01 Jan 2014
1