Nonparametric approximation of conditional expectation operators

23 December 2020

Papers citing "Nonparametric approximation of conditional expectation operators"

18 / 18 papers shown

Title
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem Mattes Mollenhauer Nicole Mücke T. Sullivan 53 26 0 16 Nov 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning Zhu Li Dimitri Meunier Mattes Mollenhauer Arthur Gretton 47 49 0 02 Aug 2022
Regularised Least-Squares Regression with Infinite-Dimensional Output Space Junhyunng Park Krikamol Muandet 21 8 0 21 Oct 2020
The linear conditional expectation in Hilbert space I. Klebanov Björn Sprungk T. Sullivan 22 13 0 27 Aug 2020
Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence Mattes Mollenhauer Stefan Klus Christof Schütte P. Koltai 37 9 0 02 Apr 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Junhyung Park Krikamol Muandet 54 80 0 10 Feb 2020
A Rigorous Theory of Conditional Mean Embeddings I. Klebanov Ingmar Schuster T. Sullivan 43 40 0 02 Dec 2019
Convergence analysis of Tikhonov regularization for non-linear statistical inverse learning problems Abhishake Rastogi Gilles Blanchard Peter Mathé 20 8 0 14 Feb 2019
Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces Mattes Mollenhauer Ingmar Schuster Stefan Klus Christof Schütte 18 18 0 24 Jul 2018
Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces Junhong Lin Alessandro Rudi Lorenzo Rosasco Volkan Cevher 75 99 0 20 Jan 2018
Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces Stefan Klus Ingmar Schuster Krikamol Muandet 53 121 0 05 Dec 2017
Optimal rates for the regularized learning algorithms under general source condition Abhishake Rastogi Sivananthan Sampath 39 31 0 07 Nov 2016
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 72 732 0 31 May 2016
Optimal Rates For Regularization Of Statistical Inverse Learning Problems Gilles Blanchard Nicole Mücke 427 143 0 14 Apr 2016
Learning Theory for Distribution Regression Z. Szabó Bharath K. Sriperumbudur Barnabás Póczós Arthur Gretton OOD 35 138 0 08 Nov 2014
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
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson Arthur Gretton Massimiliano Pontil 102 144 0 21 May 2012
Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur Kenji Fukumizu Gert R. G. Lanckriet 157 526 0 03 Mar 2010