Kernel Mean Shrinkage Estimators

Kernel Mean Shrinkage Estimators

21 May 2014

Krikamol Muandet

Bharath K. Sriperumbudur

Bernhard Schölkopf

Papers citing "Kernel Mean Shrinkage Estimators"

19 / 19 papers shown

Title
Variance-Aware Estimation of Kernel Mean Embedding Geoffrey Wolfer Pierre Alquier 59 4 0 13 Oct 2022
Minimax Estimation of Kernel Mean Embeddings Ilya O. Tolstikhin Bharath K. Sriperumbudur Krikamol Muandet 34 86 0 13 Feb 2016
Kernel Mean Estimation via Spectral Filtering Krikamol Muandet Bharath K. Sriperumbudur Bernhard Schölkopf 64 14 0 04 Nov 2014
Nonparametric Independence Testing for Small Sample Sizes Aaditya Ramdas Leila Wehbe 40 13 0 07 Jun 2014
Density Estimation in Infinite Dimensional Exponential Families Bharath K. Sriperumbudur Kenji Fukumizu Arthur Gretton Aapo Hyvarinen Revant Kumar 59 125 0 12 Dec 2013
Kernel Mean Estimation and Stein's Effect Krikamol Muandet Kenji Fukumizu Bharath K. Sriperumbudur Arthur Gretton Bernhard Schölkopf 81 40 0 04 Jun 2013
One-Class Support Measure Machines for Group Anomaly Detection Krikamol Muandet Bernhard Schölkopf 61 80 0 01 Mar 2013
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson Arthur Gretton Massimiliano Pontil 102 144 0 21 May 2012
Learning from Distributions via Support Measure Machines Krikamol Muandet Kenji Fukumizu Francesco Dinuzzo Bernhard Schölkopf 93 197 0 29 Feb 2012
Multi-Task Averaging Sergey Feldman Andrew Béla Frigyik M. Gupta 57 16 0 21 Jul 2011
Robust Kernel Density Estimation JooSeuk Kim Clayton D. Scott OOD 60 389 0 15 Jul 2011
Kernel Belief Propagation Le Song Arthur Gretton Danny Bickson Yucheng Low Carlos Guestrin 79 86 0 27 May 2011
Kernel Bayes' rule Kenji Fukumizu Le Song Arthur Gretton 64 60 0 29 Sep 2010
Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur Kenji Fukumizu Gert R. G. Lanckriet 166 526 0 03 Mar 2010
Regularization in kernel learning S. Mendelson Joe Neeman 124 144 0 13 Jan 2010
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 160 741 0 30 Jul 2009
Entropy inference and the James-Stein estimator, with application to nonlinear gene association networks Jean Hausser K. Strimmer 81 387 0 21 Nov 2008
Stein estimation for the drift of Gaussian processes using the Malliavin calculus Nicolas Privault Anthony Reveillac 72 33 0 07 Nov 2008
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 181 2,352 0 15 May 2008