f-divergence estimation and two-sample homogeneity test under semiparametric density-ratio models

24 October 2010

Papers citing "f-divergence estimation and two-sample homogeneity test under semiparametric density-ratio models"

36 / 36 papers shown

Title
Binary Losses for Density Ratio Estimation Werner Zellinger 142 0 0 28 Jan 2025
A density ratio framework for evaluating the utility of synthetic data Thom Benjamin Volker Peter-Paul de Wolf E. V. Kesteren 56 0 0 23 Aug 2024
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds Masanari Kimura H. Bondell 87 5 0 27 Jun 2024
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization Lukas Gruber Markus Holzleitner Johannes Lehner Sepp Hochreiter Werner Zellinger 117 2 0 21 Feb 2024
Adaptive learning of density ratios in RKHS Werner Zellinger S. Kindermann S. Pereverzyev 65 5 0 30 Jul 2023
General regularization in covariate shift adaptation Hoan Duc Nguyen S. Pereverzyev Werner Zellinger 43 1 0 21 Jul 2023
Federated Learning under Covariate Shifts with Generalization Guarantees Ali Ramezani-Kebrya Fanghui Liu Thomas Pethick Grigorios G. Chrysos Volkan Cevher FedML OOD 99 8 0 08 Jun 2023
Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation Alejandro de la Concha Argyris Kalogeratos Nicolas Vayatis 39 0 0 08 Jan 2023
Approximate Data Deletion in Generative Models Zhifeng Kong Scott Alfeld MU 57 4 0 29 Jun 2022
A Unifying Framework for Some Directed Distances in Statistics M. Broniatowski W. Stummer FedML 42 1 0 02 Mar 2022
Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics Masahiro Kato Masaaki Imaizumi Kentaro Minami 71 0 0 31 Jan 2022
Online non-parametric change-point detection for heterogeneous data streams observed over graph nodes Alejandro de la Concha Argyris Kalogeratos Nicolas Vayatis 16 0 0 20 Oct 2021
Near-Optimal Linear Regression under Distribution Shift Qi Lei Wei Hu Jason D. Lee OOD 75 42 0 23 Jun 2021
Continual Density Ratio Estimation in an Online Setting Yu Chen Song Liu Tom Diethe Peter A. Flach 34 1 0 09 Mar 2021
A Theory of Label Propagation for Subpopulation Shift Tianle Cai Ruiqi Gao Jason D. Lee Qi Lei 86 50 0 22 Feb 2021
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions Yufeng Zhang Wanwei Liu Zhenbang Chen Ji Wang KenLi Li 128 26 0 10 Feb 2021
Two-sample Test using Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 111 21 0 22 Oct 2020
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks Ruize Gao Feng Liu Jingfeng Zhang Bo Han Tongliang Liu Gang Niu Masashi Sugiyama AAML 104 58 0 22 Oct 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation Masahiro Kato Takeshi Teshima 96 36 0 12 Jun 2020
Generalized Energy Based Models Michael Arbel Liang Zhou Arthur Gretton DRL 179 81 0 10 Mar 2020
Posterior Ratio Estimation of Latent Variables Song Liu Yulong Zhang Mingxuan Yi Mladen Kolar 49 2 0 15 Feb 2020
To Split or Not to Split: The Impact of Disparate Treatment in Classification Hao Wang Hsiang Hsu Mario Díaz Flavio du Pin Calmon 115 23 0 12 Feb 2020
Sample Elicitation Jiaheng Wei Zuyue Fu Yang Liu Xingyu Li Zhuoran Yang Zhaoran Wang SyDa 212 0 0 08 Oct 2019
Classification Logit Two-sample Testing by Neural Networks Xiuyuan Cheng A. Cloninger 89 33 0 25 Sep 2019
Asymptotically Optimal One- and Two-Sample Testing with Kernels Shengyu Zhu Biao Chen Zhitang Chen Pengfei Yang 78 7 0 27 Aug 2019
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations Niccolò Dalmasso Ann B. Lee Rafael Izbicki T. Pospisil Ilmun Kim Chieh-An Lin 75 8 0 27 May 2019
Practical and Consistent Estimation of f-Divergences Paul Kishan Rubenstein Olivier Bousquet Josip Djolonga C. Riquelme Ilya O. Tolstikhin 80 45 0 27 May 2019
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 232 408 0 20 Oct 2016
Generative Adversarial Nets from a Density Ratio Estimation Perspective Masatoshi Uehara Issei Sato Masahiro Suzuki Kotaro Nakayama Y. Matsuo GAN 99 104 0 10 Oct 2016
Semiparametric estimation of mutual information and related criteria : optimal test of independence Amor Keziou P. Regnault 48 1 0 19 Aug 2015
Fairness-Aware Learning with Restriction of Universal Dependency using f-Divergences Kazuto Fukuchi Jun Sakuma FedML FaML 27 2 0 25 Jun 2015
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation Hiroaki Sasaki Yung-Kyun Noh Masashi Sugiyama 96 22 0 30 Jun 2014
Nonparametric Detection of Anomalous Data Streams Shaofeng Zou Yingbin Liang H. Vincent Poor Xinghua Shi 45 15 0 25 Apr 2014
Fast Computation of Wasserstein Barycenters Marco Cuturi Arnaud Doucet OT 150 743 0 16 Oct 2013
Tighter Variational Representations of f-Divergences via Restriction to Probability Measures Avraham Ruderman Mark D. Reid Dario Garcia-Garcia James Petterson 97 64 0 18 Jun 2012
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation Song Liu M. Yamada Nigel Collier Masashi Sugiyama 88 448 0 02 Mar 2012