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Tighter Variational Representations of f-Divergences via Restriction to
  Probability Measures

Tighter Variational Representations of f-Divergences via Restriction to Probability Measures

18 June 2012
Avraham Ruderman
Mark D. Reid
Dario Garcia-Garcia
James Petterson
ArXiv (abs)PDFHTML

Papers citing "Tighter Variational Representations of f-Divergences via Restriction to Probability Measures"

35 / 35 papers shown
Title
Benchmarking Mutual Information-based Loss Functions in Federated Learning
Benchmarking Mutual Information-based Loss Functions in Federated Learning
Sarang S
Harsh D. Chothani
Qilei Li
A. Abdelmoniem
Arnab K. Paul
FedML
56
0
0
16 Apr 2025
Identifiability of a statistical model with two latent vectors:
  Importance of the dimensionality relation and application to graph embedding
Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding
Hiroaki Sasaki
CML
54
0
0
30 May 2024
Generalization Bounds for Causal Regression: Insights, Guarantees and
  Sensitivity Analysis
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis
Daniel Csillag
C. Struchiner
G. Goedert
OODCML
74
2
0
15 May 2024
Better-than-KL PAC-Bayes Bounds
Better-than-KL PAC-Bayes Bounds
Ilja Kuzborskij
Kwang-Sung Jun
Yulian Wu
Kyoungseok Jang
Francesco Orabona
FedML
84
2
0
14 Feb 2024
Addressing GAN Training Instabilities via Tunable Classification Losses
Addressing GAN Training Instabilities via Tunable Classification Losses
Monica Welfert
Gowtham R. Kurri
Kyle Otstot
Lalitha Sankar
67
13
0
27 Oct 2023
Understanding Contrastive Learning via Distributionally Robust
  Optimization
Understanding Contrastive Learning via Distributionally Robust Optimization
Junkang Wu
Jiawei Chen
Jiancan Wu
Wentao Shi
Xiang Wang
Xiangnan He
120
27
0
17 Oct 2023
Sample Complexity of Probability Divergences under Group Symmetry
Sample Complexity of Probability Divergences under Group Symmetry
Ziyu Chen
Markos A. Katsoulakis
Luc Rey-Bellet
Weixia Zhu
127
10
0
03 Feb 2023
Information Processing Equalities and the Information-Risk Bridge
Information Processing Equalities and the Information-Risk Bridge
Robert C. Williamson
Zac Cranko
70
5
0
25 Jul 2022
Outcome Assumptions and Duality Theory for Balancing Weights
Outcome Assumptions and Duality Theory for Balancing Weights
David Bruns-Smith
Avi Feller
62
5
0
17 Mar 2022
From Generalisation Error to Transportation-cost Inequalities and Back
From Generalisation Error to Transportation-cost Inequalities and Back
A. Esposito
Michael C. Gastpar
74
7
0
08 Feb 2022
Structure-preserving GANs
Structure-preserving GANs
Jeremiah Birrell
Markos A. Katsoulakis
Luc Rey-Bellet
Wei-wei Zhu
GAN
96
18
0
02 Feb 2022
Preserving Domain Private Representation via Mutual Information
  Maximization
Preserving Domain Private Representation via Mutual Information Maximization
Jiahong Chen
Jing Wang
Weipeng Lin
Kuangen Zhang
Clarence W. de Silva
OOD
37
4
0
09 Jan 2022
Estimating and Maximizing Mutual Information for Knowledge Distillation
Estimating and Maximizing Mutual Information for Knowledge Distillation
A. Shrivastava
Yanjun Qi
Vicente Ordonez
56
6
0
29 Oct 2021
Moreau-Yosida $f$-divergences
Moreau-Yosida fff-divergences
Dávid Terjék
73
6
0
26 Feb 2021
Regularized Policies are Reward Robust
Regularized Policies are Reward Robust
Hisham Husain
K. Ciosek
Ryota Tomioka
55
25
0
18 Jan 2021
Combating the Instability of Mutual Information-based Losses via
  Regularization
Combating the Instability of Mutual Information-based Losses via Regularization
Kwanghee Choi
Siyeong Lee
AAML
62
4
0
16 Nov 2020
$(f,Γ)$-Divergences: Interpolating between $f$-Divergences and
  Integral Probability Metrics
(f,Γ)(f,Γ)(f,Γ)-Divergences: Interpolating between fff-Divergences and Integral Probability Metrics
Jeremiah Birrell
P. Dupuis
Markos A. Katsoulakis
Yannis Pantazis
Luc Rey-Bellet
71
8
0
11 Nov 2020
Multimodal Image-to-Image Translation via Mutual Information Estimation
  and Maximization
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
Zhiwen Zuo
Lei Zhao
Zhizhong Wang
Haibo Chen
Ailin Li
Qijiang Xu
Wei Xing
Dongming Lu
GAN
91
0
0
08 Aug 2020
Variational Representations and Neural Network Estimation of Rényi
  Divergences
Variational Representations and Neural Network Estimation of Rényi Divergences
Jeremiah Birrell
P. Dupuis
Markos A. Katsoulakis
Luc Rey-Bellet
Jie Wang
80
33
0
07 Jul 2020
On the Theoretical Equivalence of Several Trade-Off Curves Assessing
  Statistical Proximity
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity
Rodrigue Siry
Ryan Webster
Loïc Simon
Julien Rabin
63
5
0
21 Jun 2020
Optimizing Variational Representations of Divergences and Accelerating
  their Statistical Estimation
Optimizing Variational Representations of Divergences and Accelerating their Statistical Estimation
Jeremiah Birrell
Markos A. Katsoulakis
Yannis Pantazis
50
22
0
15 Jun 2020
Optimal Bounds between $f$-Divergences and Integral Probability Metrics
Optimal Bounds between fff-Divergences and Integral Probability Metrics
R. Agrawal
Thibaut Horel
69
39
0
10 Jun 2020
Novel Change of Measure Inequalities with Applications to PAC-Bayesian
  Bounds and Monte Carlo Estimation
Novel Change of Measure Inequalities with Applications to PAC-Bayesian Bounds and Monte Carlo Estimation
Yuki Ohnishi
Jean Honorio
22
0
0
25 Feb 2020
Bridging the Gap Between $f$-GANs and Wasserstein GANs
Bridging the Gap Between fff-GANs and Wasserstein GANs
Jiaming Song
Stefano Ermon
105
40
0
22 Oct 2019
Sample Elicitation
Sample Elicitation
Jiaheng Wei
Zuyue Fu
Yang Liu
Xingyu Li
Zhuoran Yang
Zhaoran Wang
SyDa
217
0
0
08 Oct 2019
On Mutual Information Maximization for Representation Learning
On Mutual Information Maximization for Representation Learning
Michael Tschannen
Josip Djolonga
Paul Kishan Rubenstein
Sylvain Gelly
Mario Lucic
SSL
196
502
0
31 Jul 2019
Deep Learning for Channel Coding via Neural Mutual Information
  Estimation
Deep Learning for Channel Coding via Neural Mutual Information Estimation
Rick Fritschek
Rafael F. Schaefer
Gerhard Wunder
85
46
0
07 Mar 2019
Information Losses in Neural Classifiers from Sampling
Information Losses in Neural Classifiers from Sampling
Brandon Foggo
N. Yu
Jie Shi
Yuanqi Gao
32
7
0
15 Feb 2019
Probability Functional Descent: A Unifying Perspective on GANs,
  Variational Inference, and Reinforcement Learning
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning
Casey Chu
Jose H. Blanchet
Peter Glynn
GAN
75
26
0
30 Jan 2019
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence
  Learning
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning
Hao Zhu
Huaibo Huang
Yi Li
Aihua Zheng
Ran He
CVBM
70
58
0
17 Dec 2018
The Inductive Bias of Restricted f-GANs
The Inductive Bias of Restricted f-GANs
Shuang Liu
Kamalika Chaudhuri
GAN
49
18
0
12 Sep 2018
Disentangling the independently controllable factors of variation by
  interacting with the world
Disentangling the independently controllable factors of variation by interacting with the world
Valentin Thomas
Emmanuel Bengio
W. Fedus
Jules Pondard
Philippe Beaudoin
Hugo Larochelle
Joelle Pineau
Doina Precup
Yoshua Bengio
DRLCoGeCML
65
62
0
26 Feb 2018
MINE: Mutual Information Neural Estimation
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
270
1,287
0
12 Jan 2018
Parametric Adversarial Divergences are Good Losses for Generative
  Modeling
Parametric Adversarial Divergences are Good Losses for Generative Modeling
Gabriel Huang
Hugo Berard
Ahmed Touati
Gauthier Gidel
Pascal Vincent
Simon Lacoste-Julien
GAN
56
1
0
08 Aug 2017
Fairness-Aware Learning with Restriction of Universal Dependency using
  f-Divergences
Fairness-Aware Learning with Restriction of Universal Dependency using f-Divergences
Kazuto Fukuchi
Jun Sakuma
FedMLFaML
29
2
0
25 Jun 2015
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