A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings

10 February 2020

Papers citing "A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings"

24 / 24 papers shown

Title
Kernel Quantile Embeddings and Associated Probability Metrics Masha Naslidnyk Siu Lun Chau F. Briol Krikamol Muandet 70 0 0 26 May 2025
Conditional Dependence via U-Statistics Pruning Ferran de Cabrera Marc Vilà-Insa Jaume Riba 54 0 0 21 Oct 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten Cecilia Casolo E. Ferrucci Søren Wengel Mogensen C. Salvi Niki Kilbertus CML BDL 183 12 0 28 Feb 2024
Regularised Least-Squares Regression with Infinite-Dimensional Output Space Junhyunng Park Krikamol Muandet 52 8 0 21 Oct 2020
On Distance and Kernel Measures of Conditional Independence T. Sheng Bharath K. Sriperumbudur 96 9 0 02 Dec 2019
A Rigorous Theory of Conditional Mean Embeddings I. Klebanov Ingmar Schuster T. Sullivan 51 41 0 02 Dec 2019
Causal Inference via Kernel Deviance Measures Jovana Mitrović Dino Sejdinovic Yee Whye Teh CML 40 62 0 12 Apr 2018
Characteristic and Universal Tensor Product Kernels Z. Szabó Bharath K. Sriperumbudur 158 72 0 28 Aug 2017
Consistent Kernel Mean Estimation for Functions of Random Variables Carl-Johann Simon-Gabriel Adam Scibior Ilya O. Tolstikhin Bernhard Schölkopf 68 14 0 19 Oct 2016
Conditional Generative Moment-Matching Networks Yong Ren J. Li Yucen Luo Jun Zhu GAN 40 62 0 14 Jun 2016
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 104 64 0 31 May 2016
Optimal Rates For Regularization Of Statistical Inverse Learning Problems Gilles Blanchard Nicole Mücke 439 143 0 14 Apr 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 100 483 0 10 Feb 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 193 328 0 09 Feb 2016
Operator-valued Kernels for Learning from Functional Response Data Hachem Kadri E. Duflos Philippe Preux S. Canu A. Rakotomamonjy Julien Audiffren 63 130 0 28 Oct 2015
Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations Bernhard Schölkopf Krikamol Muandet Kenji Fukumizu J. Peters 52 38 0 27 Jan 2015
Learning Theory for Distribution Regression Z. Szabó Bharath K. Sriperumbudur Barnabás Póczós Arthur Gretton OOD 58 138 0 08 Nov 2014
Hilbert Space Embeddings of POMDPs Yu Nishiyama Abdeslam Boularias Arthur Gretton Kenji Fukumizu 93 52 0 16 Oct 2012
Equivalence of distance-based and RKHS-based statistics in hypothesis testing Dino Sejdinovic Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu 213 685 0 25 Jul 2012
Modelling transition dynamics in MDPs with RKHS embeddings Steffen Grunewalder Guy Lever Luca Baldassarre Massimiliano Pontil Arthur Gretton 103 132 0 18 Jun 2012
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson Arthur Gretton Massimiliano Pontil 127 147 0 21 May 2012
Learning from Distributions via Support Measure Machines Krikamol Muandet Kenji Fukumizu Francesco Dinuzzo Bernhard Schölkopf 104 198 0 29 Feb 2012
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 208 744 0 30 Jul 2009
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 231 2,355 0 15 May 2008