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Stability and Deviation Optimal Risk Bounds with Convergence Rate
  $O(1/n)$

Stability and Deviation Optimal Risk Bounds with Convergence Rate O(1/n)O(1/n)O(1/n)

22 March 2021
Yegor Klochkov
Nikita Zhivotovskiy
ArXivPDFHTML

Papers citing "Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$"

13 / 13 papers shown
Title
Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity
Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity
Eric Zhao
Tatjana Chavdarova
Michael I. Jordan
50
0
0
20 Feb 2025
Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment
Faster WIND: Accelerating Iterative Best-of-NNN Distillation for LLM Alignment
Tong Yang
Jincheng Mei
H. Dai
Zixin Wen
Shicong Cen
Dale Schuurmans
Yuejie Chi
Bo Dai
45
4
0
20 Feb 2025
On the Concentration of the Minimizers of Empirical Risks
On the Concentration of the Minimizers of Empirical Risks
Paul Escande
31
2
0
03 Apr 2023
Exploring Local Norms in Exp-concave Statistical Learning
Exploring Local Norms in Exp-concave Statistical Learning
Nikita Puchkin
Nikita Zhivotovskiy
81
2
0
21 Feb 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods:
  Stability, Smoothness, and Deviation
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation
Xiao-Tong Yuan
P. Li
34
2
0
09 Jan 2023
Uniform Stability for First-Order Empirical Risk Minimization
Uniform Stability for First-Order Empirical Risk Minimization
Amit Attia
Tomer Koren
20
5
0
17 Jul 2022
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on
  Least Squares
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares
Anant Raj
Melih Barsbey
Mert Gurbuzbalaban
Lingjiong Zhu
Umut Simsekli
19
9
0
02 Jun 2022
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for
  Full-Batch GD
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
Konstantinos E. Nikolakakis
Farzin Haddadpour
Amin Karbasi
Dionysios S. Kalogerias
43
17
0
26 Apr 2022
Sharper Utility Bounds for Differentially Private Models
Sharper Utility Bounds for Differentially Private Models
Yilin Kang
Yong Liu
Jian Li
Weiping Wang
FedML
32
3
0
22 Apr 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
30
10
0
23 Feb 2022
Stable Conformal Prediction Sets
Stable Conformal Prediction Sets
Eugène Ndiaye
35
20
0
19 Dec 2021
Improved Learning Rates for Stochastic Optimization: Two Theoretical
  Viewpoints
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints
Shaojie Li
Yong Liu
23
13
0
19 Jul 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,201
0
16 Aug 2016
1