A Rigorous Theory of Conditional Mean Embeddings

2 December 2019

Papers citing "A Rigorous Theory of Conditional Mean Embeddings"

11 / 11 papers shown

Title
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge S. Bouabid Jake Fawkes Dino Sejdinovic CML 44 0 0 26 Jan 2023
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem Mattes Mollenhauer Nicole Mücke T. Sullivan 38 25 0 16 Nov 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning Zhu Li Dimitri Meunier Mattes Mollenhauer Arthur Gretton 35 47 0 02 Aug 2022
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm You-Wei Luo Chuan-Xian Ren 27 2 0 26 Feb 2022
Convergence Rates for Learning Linear Operators from Noisy Data Maarten V. de Hoop Nikola B. Kovachki Nicholas H. Nelsen Andrew M. Stuart 21 54 0 27 Aug 2021
Conditional Bures Metric for Domain Adaptation You-Wei Luo Chuan-Xian Ren 26 49 0 31 Jul 2021
Sobolev Norm Learning Rates for Conditional Mean Embeddings Prem M. Talwai A. Shameli D. Simchi-Levi 29 10 0 16 May 2021
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 38 15 0 01 Jun 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Junhyung Park Krikamol Muandet 35 78 0 10 Feb 2020
Constrained Polynomial Likelihood Caio Almeida Ricardo Masini P. Schneider 28 4 0 30 Oct 2019
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson Arthur Gretton Massimiliano Pontil 85 143 0 21 May 2012