ResearchTrend.AI
Variational Representations and Neural Network Estimation of Rényi Divergences
v1v2v3v4 (latest)

Variational Representations and Neural Network Estimation of Rényi Divergences

Jeremiah Birrell
P. Dupuis
Markos A. Katsoulakis
Luc Rey-Bellet
Jie Wang
ArXiv (abs)PDFHTML

Papers citing "Variational Representations and Neural Network Estimation of Rényi Divergences"

19 / 19 papers shown
Title
Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures
Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures
Ananya Omanwar
F. Alajaji
Tamás Linder
50
0
0
30 May 2025
Generalization Bounds for Quantum Learning via Rényi Divergences
Generalization Bounds for Quantum Learning via Rényi Divergences
Naqueeb Ahmad Warsi
Ayanava Dasgupta
Masahito Hayashi
60
0
0
16 May 2025
Information Theoretic Guarantees For Policy Alignment In Large Language Models
Information Theoretic Guarantees For Policy Alignment In Large Language Models
Youssef Mroueh
97
8
0
09 Jun 2024
Statistical divergences in high-dimensional hypothesis testing and a modern technique for estimating them
Statistical divergences in high-dimensional hypothesis testing and a modern technique for estimating them
Jeremy J.H. Wilkinson
Christopher G. Lester
43
0
0
10 May 2024
Information divergences and likelihood ratios of Poisson processes and point patterns
Information divergences and likelihood ratios of Poisson processes and point patterns
Lasse Leskelä
77
2
0
30 Mar 2024
Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization
Adaptive importance sampling for heavy-tailed distributions via αα-divergence minimization
Thomas Guilmeau
Nicola Branchini
Émilie Chouzenoux
Victor Elvira
83
2
0
25 Oct 2023
DP-Auditorium: a Large Scale Library for Auditing Differential Privacy
DP-Auditorium: a Large Scale Library for Auditing Differential Privacy
William Kong
Andrés Munoz Medina
Mónica Ribero
Umar Syed
72
5
0
10 Jul 2023
Quantum Neural Estimation of Entropies
Quantum Neural Estimation of Entropies
Ziv Goldfeld
Dhrumil Patel
Sreejith Sreekumar
Mark M. Wilde
96
9
0
03 Jul 2023
Lower Bounds on the Bayesian Risk via Information Measures
Lower Bounds on the Bayesian Risk via Information Measures
A. Esposito
Adrien Vandenbroucque
Michael C. Gastpar
119
2
0
22 Mar 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality
Alireza Mousavi-Hosseini
Tyler Farghly
Ye He
Krishnakumar Balasubramanian
Murat A. Erdogdu
122
27
0
07 Mar 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
129
10
0
03 Feb 2023
Function-space regularized Rényi divergences
Function-space regularized Rényi divergences
Jeremiah Birrell
Yannis Pantazis
P. Dupuis
Markos A. Katsoulakis
Luc Rey-Bellet
101
7
0
10 Oct 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence
Kyungmin Lee
Jinwoo Shin
SSLDRL
99
10
0
12 Aug 2022
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures
A. Gronowski
William Paul
F. Alajaji
Bahman Gharesifard
Philippe Burlina
FaML
95
3
0
20 Jun 2022
Structure-preserving GANs
Structure-preserving GANs
Jeremiah Birrell
Markos A. Katsoulakis
Luc Rey-Bellet
Wei-wei Zhu
GAN
111
18
0
02 Feb 2022
Model Uncertainty and Correctability for Directed Graphical Models
Model Uncertainty and Correctability for Directed Graphical Models
Panagiota Birmpa
Jinchao Feng
Markos A. Katsoulakis
Luc Rey-Bellet
45
0
0
17 Jul 2021
$(f,Γ)$-Divergences: Interpolating between $f$-Divergences and Integral Probability Metrics
(f,Γ)(f,Γ)-Divergences: Interpolating between ff-Divergences and Integral Probability Metrics
Jeremiah Birrell
P. Dupuis
Markos A. Katsoulakis
Yannis Pantazis
Luc Rey-Bellet
71
8
0
11 Nov 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
Cumulant GAN
Cumulant GAN
Yannis Pantazis
D. Paul
M. Fasoulakis
Y. Stylianou
Markos A. Katsoulakis
GAN
101
18
0
11 Jun 2020