Kernel Bayes' rule

Kenji Fukumizu, Le Song, Arthur Gretton

Type: Preprint

Publication Date: 2010-09-29

Citations: 4

Locations

arXiv (Cornell University) - View

Similar Works

Action	Title	Year	Authors
+	Kernel Bayes' rule	2010	Kenji Fukumizu Le Song Arthur Gretton
+	Kernel Bayes' rule: Bayesian inference with positive definite kernels	2013	Kenji Fukumizu Le Song Arthur Gretton
+	Remarks on kernel Bayes’ rule	2018	Hisashi Johno Kazunori Nakamoto Tatsuhiko Saigo
+	Importance Weighting Approach in Kernel Bayes' Rule	2022	Liyuan Xu Yutian Chen Arnaud Doucet Arthur Gretton
+	Model-based Kernel Sum Rule	2014	Yu Nishiyama Motonobu Kanagawa Arthur Gretton Kenji Fukumizu
+	Density Estimation – Bayesian	2011	Andrew R. Webb Keith D. Copsey
+	Nonparametric Bayesian Density Estimation via the Kernel Trick	2011	Ferenc Huszár Simon Lacoste-Julien
+	Bayesian kernel density estimation	2017	Estian Rademeyer
+ PDF Chat	Adaptive Kernel Kalman Filter	2021	Mengwei Sun Mike E. Davies Ian K. Proudler James R. Hopgood
+ PDF Chat	AKL-ABC: An Automatic Approximate Bayesian Computation Approach Based on Kernel Learning	2019	Wilson González-Vanegas Andrés Marino Álvarez-Meza José Hernández-Muriel Álvaro A. Orozco
+	Kernel Mean Estimation via Spectral Filtering	2014	Krikamol Muandet Bharath K. Sriperumbudur Bernhard Schölkopf
+	Kernel Density Estimation : The Malliavin-Thalmaier formula and Bayesian parameter estimation	2008	和弘安田
+	Bayesian Nonparametric Kernel-Learning	2015	Junier B. Oliva Avinava Dubey Andrew Gordon Wilson Barnabás Póczos Jeff Schneider Eric P. Xing
+	Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis	2002	Tony Van Gestel Johan A. K. Suykens Gert Lanckriet Adriaan Lambrechts Bart De Moor Joos Vandewalle
+	Kernel Mean Estimation via Spectral Filtering	2014	Krikamol Muandet Bharath K. Sriperumbudur Bernhard Schölkopf
+	Bayes Hilbert Spaces for Posterior Approximation	2023	George Wynne
+	Kernel Density Estimation	2017	Artur Gramacki
+	Kernel Bayesian Inference with Posterior Regularization	2016	Yang Song Jun Zhu Yong Ren
+ PDF Chat	PCA-Kernel Estimation	2012	Gérard Biau André Mas
+ PDF Chat	PCA-Kernel Estimation	2012	Gérard Biau André Mas

Works That Cite This (3)

Action	Title	Year	Authors
+	Model Bridging: Connection between Simulation Model and Neural Network	2019	K. Kisamori Keisuke Yamazaki Yuto Komori Hiroshi Tokieda
+	Hilbert Space Embeddings of POMDPs	2012	Yu Nishiyama Abdeslam Boularias Arthur Gretton Kenji Fukumizu
+	BayesIMP: Uncertainty Quantification for Causal Data Fusion	2021	Siu Lun Chau Jean-François Ton Javier González Yee Whye Teh Dino Sejdinović

Works Cited by This (22)

Action	Title	Year	Authors
+	Regularization of Inverse Problems	1996	Heinz W. Engl Martin Hanke Andreas B. Neubauer
+ PDF Chat	Learning Theory Estimates via Integral Operators and Their Approximations	2007	Steve Smale Ding‐Xuan Zhou
+	Sequential importance sampling for nonparametric Bayes models: The next generation	1999	Steven N. MacEachern Merlise A. Clyde Jun S. Liu
+	An alternative method of cross-validation for the smoothing of density estimates	1984	Adrian Bowman
+ PDF Chat	Joint measures and cross-covariance operators	1973	C. Richard Baker
+	A consistent modification of a test for independence based on the empirical characteristic function	1998	A. Kankainen N. G. Ushakov
+ PDF Chat	Discussion of: Brownian distance covariance	2009	Arthur Gretton Kenji Fukumizu Bharath K. Sriperumbudur
+ PDF Chat	Nonparametric Bayesian Data Analysis	2004	Peter Müller Fernando A. Quintana
+ PDF Chat	Kernel dimension reduction in regression	2009	Kenji Fukumizu Francis Bach Michael I. Jordan
+	Kernel Measures of Conditional Dependence	2007	Kenji Fukumizu Arthur Gretton Xiaohai Sun Bernhard Schölkopf