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Empirical Risk Minimization with Relative Entropy Regularization:
  Optimality and Sensitivity Analysis

Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis

9 February 2022
S. Perlaza
Gaetan Bisson
I. Esnaola
A. Jean-Marie
Stefano Rini
ArXivPDFHTML

Papers citing "Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis"

6 / 6 papers shown
Title
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization
Francisco Daunas
I. Esnaola
S. Perlaza
H. Vincent Poor
38
2
0
02 Oct 2024
On the Validation of Gibbs Algorithms: Training Datasets, Test Datasets
  and their Aggregation
On the Validation of Gibbs Algorithms: Training Datasets, Test Datasets and their Aggregation
S. Perlaza
I. Esnaola
Gaetan Bisson
H. Vincent Poor
22
19
0
21 Jun 2023
Analysis of the Relative Entropy Asymmetry in the Regularization of
  Empirical Risk Minimization
Analysis of the Relative Entropy Asymmetry in the Regularization of Empirical Risk Minimization
Francisco Daunas
I. Esnaola
S. Perlaza
H. Vincent Poor
33
15
0
12 Jun 2023
Gibbs-Based Information Criteria and the Over-Parameterized Regime
Gibbs-Based Information Criteria and the Over-Parameterized Regime
Haobo Chen
Yuheng Bu
Greg Wornell
34
1
0
08 Jun 2023
Empirical Risk Minimization with Relative Entropy Regularization
Empirical Risk Minimization with Relative Entropy Regularization
S. Perlaza
Gaetan Bisson
I. Esnaola
Alain Jean-Marie
Stefano Rini
24
20
0
12 Nov 2022
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
164
455
0
03 Dec 2007
1