Practical and Consistent Estimation of f-Divergences

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Practical and Consistent Estimation of f-Divergences

27 May 2019

Paul Kishan Rubenstein

Olivier Bousquet

Ilya O. Tolstikhin

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Papers citing "Practical and Consistent Estimation of f-Divergences"

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Title
Explicit Preference Optimization: No Need for an Implicit Reward Model Xiangkun Hu Lemin Kong Tong He David Wipf 23 0 0 09 Jun 2025
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation Niklas Smedemark-Margulies Ye Wang T. Koike-Akino Jing Liu K. Parsons Yunus Bicer Deniz Erdogmus 62 0 0 12 Oct 2023
MAUVE Scores for Generative Models: Theory and Practice Krishna Pillutla Lang Liu John Thickstun Sean Welleck Swabha Swayamdipta Rowan Zellers Sewoong Oh Yejin Choi Zaïd Harchaoui EGVM 121 23 0 30 Dec 2022
Lower Bounds for Rényi Differential Privacy in a Black-Box Setting T. Kutta Önder Askin Martin Dunsche 70 4 0 09 Dec 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 99 10 0 12 Aug 2022
Sum-of-Squares Relaxations for Information Theory and Variational Inference Francis R. Bach 67 12 0 27 Jun 2022
Collaborative likelihood-ratio estimation over graphs Alejandro de la Concha Nicolas Vayatis Argyris Kalogeratos 69 1 0 28 May 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida FaML DRL 197 22 0 07 May 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks Nan Ding Xi Chen Tomer Levinboim Soravit Changpinyo Radu Soricut 79 29 0 10 Mar 2022
KL Divergence Estimation with Multi-group Attribution Parikshit Gopalan Nina Narodytska Omer Reingold Vatsal Sharan Udi Wieder 34 0 0 28 Feb 2022
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals Lang Liu Krishna Pillutla Sean Welleck Sewoong Oh Yejin Choi Zaïd Harchaoui MQ 89 14 0 15 Jun 2021
Martingale Methods for Sequential Estimation of Convex Functionals and Divergences Tudor Manole Aaditya Ramdas 73 20 0 16 Mar 2021
Ranking Neural Checkpoints Yandong Li Xuhui Jia Ruoxin Sang Yukun Zhu Bradley Green Liqiang Wang Boqing Gong FedML ELM UQCV 112 49 0 23 Nov 2020
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 97 448 0 01 Oct 2019
Statistical estimation of the Kullback-Leibler divergence A. Bulinski Denis Dimitrov 60 18 0 29 Jun 2019