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On change of measure inequalities for $f$-divergences

On change of measure inequalities for fff-divergences

11 February 2022
Antoine Picard-Weibel
Benjamin Guedj
ArXivPDFHTML

Papers citing "On change of measure inequalities for $f$-divergences"

13 / 13 papers shown
Title
Tighter Generalisation Bounds via Interpolation
Tighter Generalisation Bounds via Interpolation
Paul Viallard
Maxime Haddouche
Umut Simsekli
Benjamin Guedj
19
3
0
07 Feb 2024
Generalized mutual information and their reference priors under Csizar
  f-divergence
Generalized mutual information and their reference priors under Csizar f-divergence
Antoine Van Biesbroeck
14
0
0
16 Oct 2023
Learning via Wasserstein-Based High Probability Generalisation Bounds
Learning via Wasserstein-Based High Probability Generalisation Bounds
Paul Viallard
Maxime Haddouche
Umut Simsekli
Benjamin Guedj
30
12
0
07 Jun 2023
Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to
  Explain Generalisation
Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation
Maxime Haddouche
Benjamin Guedj
25
0
0
14 Apr 2023
Dual RL: Unification and New Methods for Reinforcement and Imitation
  Learning
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
Harshit S. Sikchi
Qinqing Zheng
Amy Zhang
S. Niekum
OffRL
36
19
0
16 Feb 2023
Instance-Dependent Generalization Bounds via Optimal Transport
Instance-Dependent Generalization Bounds via Optimal Transport
Songyan Hou
Parnian Kassraie
Anastasis Kratsios
Andreas Krause
Jonas Rothfuss
22
6
0
02 Nov 2022
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty
Felix Biggs
Benjamin Guedj
24
7
0
20 Oct 2022
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through
  Supermartingales
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales
Maxime Haddouche
Benjamin Guedj
51
20
0
03 Oct 2022
Integral Probability Metrics PAC-Bayes Bounds
Integral Probability Metrics PAC-Bayes Bounds
Ron Amit
Baruch Epstein
Shay Moran
Ron Meir
27
18
0
01 Jul 2022
Sum-of-Squares Relaxations for Information Theory and Variational
  Inference
Sum-of-Squares Relaxations for Information Theory and Variational Inference
Francis R. Bach
22
11
0
27 Jun 2022
Learning PAC-Bayes Priors for Probabilistic Neural Networks
Learning PAC-Bayes Priors for Probabilistic Neural Networks
Maria Perez-Ortiz
Omar Rivasplata
Benjamin Guedj
M. Gleeson
Jingyu Zhang
John Shawe-Taylor
M. Bober
J. Kittler
UQCV
59
31
0
21 Sep 2021
Simpler PAC-Bayesian Bounds for Hostile Data
Simpler PAC-Bayesian Bounds for Hostile Data
Pierre Alquier
Benjamin Guedj
84
72
0
23 Oct 2016
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
151
454
0
03 Dec 2007
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