Kernel Quantile Embeddings and Associated Probability Metrics

26 May 2025

Papers citing "Kernel Quantile Embeddings and Associated Probability Metrics"

49 / 49 papers shown

Title
A Dictionary of Closed-Form Kernel Mean Embeddings F. Briol A. Gessner Toni Karvonen Maren Mahsereci BDL 102 2 0 26 Apr 2025
A Unified View of Optimal Kernel Hypothesis Testing Antonin Schrab 62 3 0 10 Mar 2025
An Overview of Causal Inference using Kernel Embeddings Dino Sejdinovic CML BDL 84 4 0 30 Oct 2024
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances Jie Wang M. Boedihardjo Yao Xie 85 1 0 24 May 2024
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting Felix Biggs Antonin Schrab Arthur Gretton 67 21 0 14 Jun 2023
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models Siu Lun Chau Krikamol Muandet Dino Sejdinovic FAtt 77 15 0 24 May 2023
Kernelized Cumulants: Beyond Kernel Mean Embeddings Patric Bonnier Harald Oberhauser Zoltan Szabo 56 6 0 29 Jan 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 60 13 0 27 Jan 2023
Kernel-Based Generalized Median Computation for Consensus Learning Andreas Nienkötter Xiaoyi Jiang 20 4 0 21 Sep 2022
Efficient Aggregated Kernel Tests using Incomplete $U$ -statistics Antonin Schrab Ilmun Kim Benjamin Guedj Arthur Gretton 49 30 0 18 Jun 2022
Characteristic kernels on Hilbert spaces, Banach spaces, and on sets of measures Johanna Fasciati-Ziegel D. Ginsbourger L. Dümbgen VLM 12 5 0 15 Jun 2022
Information Theory with Kernel Methods Francis R. Bach 42 41 0 17 Feb 2022
Nyström Kernel Mean Embeddings Antoine Chatalic Nicolas Schreuder Alessandro Rudi Lorenzo Rosasco 84 22 0 31 Jan 2022
MMD Aggregated Two-Sample Test Antonin Schrab Ilmun Kim Mélisande Albert Béatrice Laurent Benjamin Guedj Arthur Gretton 48 57 0 28 Oct 2021
RKHS-SHAP: Shapley Values for Kernel Methods Siu Lun Chau Robert Hu Javier I. González Dino Sejdinovic FAtt 38 20 0 18 Oct 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 59 12 0 22 Jun 2021
BayesIMP: Uncertainty Quantification for Causal Data Fusion Siu Lun Chau Jean-François Ton Javier I. González Yee Whye Teh Dino Sejdinovic CML 35 20 0 07 Jun 2021
Deconditional Downscaling with Gaussian Processes Siu Lun Chau S. Bouabid Dino Sejdinovic BDL 42 22 0 27 May 2021
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies Mike Walmsley Chris J. Lintott Tobias Geron Sandor Kruk Coleman M Krawczyk ... B. Simmons R. Smethurst Lewis Smith E. Baeten C. Macmillan MDE 100 82 0 16 Feb 2021
Two-sample Test with Kernel Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 33 19 0 12 Feb 2021
Two-sample test based on maximum variance discrepancy Natsumi Makigusa 10 4 0 02 Dec 2020
Statistical and Topological Properties of Sliced Probability Divergences Kimia Nadjahi Alain Durmus Lénaïc Chizat Soheil Kolouri Shahin Shahrampour Umut Simsekli 36 84 0 12 Mar 2020
Testing Goodness of Fit of Conditional Density Models with Kernels Wittawat Jitkrittum Heishiro Kanagawa Bernhard Schölkopf 38 28 0 24 Feb 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu Wenkai Xu Jie Lu Guangquan Zhang Arthur Gretton Danica J. Sutherland 37 182 0 21 Feb 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Junhyung Park Krikamol Muandet 54 80 0 10 Feb 2020
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 117 74 0 29 Sep 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 44 72 0 13 Jun 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 116 416 0 28 Mar 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 83 1,693 0 13 Feb 2019
Generalized Sliced Wasserstein Distances Soheil Kolouri Kimia Nadjahi Umut Simsekli Roland Badeau Gustavo K. Rohde 33 296 0 01 Feb 2019
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 48 524 0 18 Oct 2018
Sample Complexity of Sinkhorn divergences Aude Genevay Lénaïc Chizat Francis R. Bach Marco Cuturi Gabriel Peyré OT 56 283 0 05 Oct 2018
Counterfactual Mean Embeddings Krikamol Muandet Motonobu Kanagawa Sorawit Saengkyongam S. Marukatat CML OffRL 44 39 0 22 May 2018
Generative Modeling using the Sliced Wasserstein Distance Ishani Deshpande Ziyu Zhang Alex Schwing GAN 41 223 0 29 Mar 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means M. Lerasle Z. Szabó Gaspar Massiot Guillaume Lecué 108 36 0 13 Feb 2018
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 69 732 0 31 May 2016
Bayesian Learning of Kernel Embeddings Seth Flaxman Dino Sejdinovic John P. Cunningham Sarah Filippi BDL 28 44 0 07 Mar 2016
Minimax Estimation of Kernel Mean Embeddings Ilya O. Tolstikhin Bharath K. Sriperumbudur Krikamol Muandet 31 86 0 13 Feb 2016
On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests Aaditya Ramdas Nicolas García Trillos Marco Cuturi 44 486 0 08 Sep 2015
Fast Two-Sample Testing with Analytic Representations of Probability Measures Kacper P. Chwialkowski Aaditya Ramdas Dino Sejdinovic Arthur Gretton 47 154 0 15 Jun 2015
Learning Theory for Distribution Regression Z. Szabó Bharath K. Sriperumbudur Barnabás Póczós Arthur Gretton OOD 35 138 0 08 Nov 2014
On the rate of convergence in Wasserstein distance of the empirical measure N. Fournier Arnaud Guillin 117 1,141 0 07 Dec 2013
Geometric median and robust estimation in Banach spaces Stanislav Minsker 104 312 0 06 Aug 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 135 4,210 0 04 Jun 2013
Equivalence of distance-based and RKHS-based statistics in hypothesis testing Dino Sejdinovic Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu 151 681 0 25 Jul 2012
Learning from Distributions via Support Measure Machines Krikamol Muandet Kenji Fukumizu Francesco Dinuzzo Bernhard Schölkopf 82 197 0 29 Feb 2012
Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur Kenji Fukumizu Gert R. G. Lanckriet 157 526 0 03 Mar 2010
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 154 741 0 30 Jul 2009
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 169 2,352 0 15 May 2008