A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings

10 February 2020

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

22 / 22 papers shown

Title
Conditional Dependence via U-Statistics Pruning Ferran de Cabrera Marc Vilà-Insa Jaume Riba 20 0 0 21 Oct 2024
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 44 0 0 21 Jul 2024
Kernel Single Proxy Control for Deterministic Confounding Liyuan Xu A. Gretton CML 19 2 0 08 Aug 2023
A continuous Structural Intervention Distance to compare Causal Graphs Mihir Dhanakshirur F. Laumann Junhyung Park Mauricio Barahona CML 11 3 0 31 Jul 2023
Causal survival embeddings: non-parametric counterfactual inference under censoring Carlos García-Meixide Marcos Matabuena CML 20 5 0 20 Jun 2023
Supervised learning with probabilistic morphisms and kernel mean embeddings H. Lê GAN 14 1 0 10 May 2023
Confidence and Uncertainty Assessment for Distributional Random Forests Jeffrey Näf Corinne Emmenegger Peter Buhlmann N. Meinshausen 17 3 0 11 Feb 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge S. Bouabid Jake Fawkes Dino Sejdinovic CML 20 0 0 26 Jan 2023
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making Shujian Yu Hongming Li Sigurd Løkse Robert Jenssen José C. Príncipe BDL 19 6 0 21 Jan 2023
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem Mattes Mollenhauer Nicole Mücke T. Sullivan 13 24 0 16 Nov 2022
Calibration tests beyond classification David Widmann Fredrik Lindsten Dave Zachariah 14 17 0 21 Oct 2022
Minimax Optimal Kernel Operator Learning via Multilevel Training Jikai Jin Yiping Lu Jose H. Blanchet Lexing Ying 14 11 0 28 Sep 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning Zhu Li D. Meunier Mattes Mollenhauer A. Gretton 15 46 0 02 Aug 2022
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm You-Wei Luo Chuan-Xian Ren 14 2 0 26 Feb 2022
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings M. Scetbon Laurent Meunier Yaniv Romano 20 9 0 28 Oct 2021
Sobolev Norm Learning Rates for Conditional Mean Embeddings Prem M. Talwai A. Shameli D. Simchi-Levi 8 10 0 16 May 2021
Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings Ambrus Tamás Balázs Csanád Csáji 14 4 0 08 Mar 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression Junhyung Park Uri Shalit Bernhard Schölkopf Krikamol Muandet CML 10 31 0 16 Feb 2021
Barking up the right tree: an approach to search over molecule synthesis DAGs John Bradshaw Brooks Paige Matt J. Kusner Marwin H. S. Segler José Miguel Hernández-Lobato 32 56 0 21 Dec 2020
Consistent Kernel Mean Estimation for Functions of Random Variables Carl-Johann Simon-Gabriel Adam Scibior Ilya O. Tolstikhin Bernhard Schölkopf 24 14 0 19 Oct 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 94 324 0 09 Feb 2016
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson A. Gretton Massimiliano Pontil 80 143 0 21 May 2012