Conditional mean embeddings as regressors - supplementary

21 May 2012

Papers citing "Conditional mean embeddings as regressors - supplementary"

23 / 23 papers shown

Title
Spectral Representation for Causal Estimation with Hidden Confounders Tongzheng Ren Haotian Sun Antoine Moulin Arthur Gretton Bo Dai CML 29 1 0 15 Jul 2024
Kernel Single Proxy Control for Deterministic Confounding Liyuan Xu A. Gretton CML 24 2 0 08 Aug 2023
Causal survival embeddings: non-parametric counterfactual inference under censoring Carlos García-Meixide Marcos Matabuena CML 36 5 0 20 Jun 2023
Consistent Optimal Transport with Empirical Conditional Measures Piyushi Manupriya Rachit Keerti Das Sayantan Biswas S. Jagarlapudi OT 26 3 0 25 May 2023
Supervised learning with probabilistic morphisms and kernel mean embeddings H. Lê GAN 18 1 0 10 May 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge S. Bouabid Jake Fawkes Dino Sejdinovic CML 41 0 0 26 Jan 2023
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Jake Fawkes Robert Hu R. Evans Dino Sejdinovic OOD 23 3 0 09 Dec 2022
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem Mattes Mollenhauer Nicole Mücke T. Sullivan 22 24 0 16 Nov 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces Vladimir Kostic P. Novelli Andreas Maurer C. Ciliberto Lorenzo Rosasco Massimiliano Pontil 16 60 0 27 May 2022
Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes Junhyung Park Krikamol Muandet 14 6 0 09 Feb 2022
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings Adam J. Thorpe T. Lew Meeko Oishi Marco Pavone 25 21 0 08 Feb 2022
Sobolev Norm Learning Rates for Conditional Mean Embeddings Prem M. Talwai A. Shameli D. Simchi-Levi 19 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 25 4 0 08 Mar 2021
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Junhyung Park Krikamol Muandet 28 77 0 10 Feb 2020
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference Kelvin Hsu F. Ramos 30 12 0 03 Mar 2019
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise Alessandro Rudi Massimiliano Pontil C. Ciliberto OT 24 130 0 30 May 2018
Flexible and accurate inference and learning for deep generative models Eszter Vértes M. Sahani SyDa BDL 6 44 0 28 May 2018
Kernel Recursive ABC: Point Estimation with Intractable Likelihood T. Kajihara Motonobu Kanagawa Keisuke Yamazaki Kenji Fukumizu 34 13 0 23 Feb 2018
Learning from Conditional Distributions via Dual Embeddings Bo Dai Niao He Yunpeng Pan Byron Boots Le Song 35 21 0 15 Jul 2016
Hilbert Space Embeddings of Predictive State Representations Byron Boots Geoffrey J. Gordon A. Gretton 44 95 0 26 Sep 2013
Kernel Mean Estimation and Stein's Effect Krikamol Muandet Kenji Fukumizu Bharath K. Sriperumbudur A. Gretton Bernhard Schölkopf 54 40 0 04 Jun 2013
A Generalized Kernel Approach to Structured Output Learning Hachem Kadri Mohammad Ghavamzadeh Philippe Preux 78 37 0 10 May 2012