Variational Representations and Neural Network Estimation of Rényi
Divergences

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Variational Representations and Neural Network Estimation of Rényi Divergences

7 July 2020

Jeremiah Birrell

Markos A. Katsoulakis

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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 Ananya Omanwar F. Alajaji Tamás Linder 46 0 0 30 May 2025
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 Youssef Mroueh 97 8 0 09 Jun 2024
Statistical divergences in high-dimensional hypothesis testing and a modern technique for estimating them Jeremy J.H. Wilkinson Christopher G. Lester 39 0 0 10 May 2024
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 Thomas Guilmeau Nicola Branchini Émilie Chouzenoux Victor Elvira 81 2 0 25 Oct 2023
DP-Auditorium: a Large Scale Library for Auditing Differential Privacy William Kong Andrés Munoz Medina Mónica Ribero Umar Syed 70 5 0 10 Jul 2023
Quantum Neural Estimation of Entropies Ziv Goldfeld Dhrumil Patel Sreejith Sreekumar Mark M. Wilde 92 9 0 03 Jul 2023
Lower Bounds on the Bayesian Risk via Information Measures A. Esposito Adrien Vandenbroucque Michael C. Gastpar 110 2 0 22 Mar 2023
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 Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Weixia Zhu 127 10 0 03 Feb 2023
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 Kyungmin Lee Jinwoo Shin SSL DRL 99 10 0 12 Aug 2022
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 Jeremiah Birrell Markos A. Katsoulakis Luc Rey-Bellet Wei-wei Zhu GAN 89 18 0 02 Feb 2022
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 Jeremiah Birrell P. Dupuis Markos A. Katsoulakis Yannis Pantazis Luc Rey-Bellet 54 8 0 11 Nov 2020
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 Yannis Pantazis D. Paul M. Fasoulakis Y. Stylianou Markos A. Katsoulakis GAN 101 18 0 11 Jun 2020