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Variational Representations and Neural Network Estimation of Rényi
  Divergences

Variational Representations and Neural Network Estimation of Rényi Divergences

7 July 2020
Jeremiah Birrell
P. Dupuis
M. Katsoulakis
Luc Rey-Bellet
Jie Wang
ArXivPDFHTML

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

6 / 6 papers shown
Title
Information divergences and likelihood ratios of Poisson processes and
  point patterns
Information divergences and likelihood ratios of Poisson processes and point patterns
Lasse Leskelä
32
2
0
30 Mar 2024
Quantum Neural Estimation of Entropies
Quantum Neural Estimation of Entropies
Ziv Goldfeld
Dhrumil Patel
Sreejith Sreekumar
Mark M. Wilde
38
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
27
2
0
22 Mar 2023
Sample Complexity of Probability Divergences under Group Symmetry
Sample Complexity of Probability Divergences under Group Symmetry
Ziyu Chen
M. Katsoulakis
Luc Rey-Bellet
Weixia Zhu
32
10
0
03 Feb 2023
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence
Kyungmin Lee
Jinwoo Shin
SSL
DRL
31
10
0
12 Aug 2022
Optimizing Variational Representations of Divergences and Accelerating
  their Statistical Estimation
Optimizing Variational Representations of Divergences and Accelerating their Statistical Estimation
Jeremiah Birrell
M. Katsoulakis
Yannis Pantazis
19
22
0
15 Jun 2020
1