Practical and Consistent Estimation of f-Divergences

Practical and Consistent Estimation of f-Divergences

27 May 2019

Paul Kishan Rubenstein

Olivier Bousquet

Ilya O. Tolstikhin

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

9 / 9 papers shown

Title
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 27 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 53 22 0 30 Dec 2022
Lower Bounds for Rényi Differential Privacy in a Black-Box Setting T. Kutta Önder Askin Martin Dunsche 35 4 0 09 Dec 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 36 10 0 12 Aug 2022
Collaborative likelihood-ratio estimation over graphs Alejandro de la Concha Nicolas Vayatis Argyris Kalogeratos 36 1 0 28 May 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida FaML DRL 38 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 35 26 0 10 Mar 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 31 14 0 15 Jun 2021
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 30 426 0 01 Oct 2019