Kernel Conditional Density Operators

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Kernel Conditional Density Operators

International Conference on Artificial Intelligence and Statistics (AISTATS), 2019

27 May 2019

Ingmar Schuster

Mattes Mollenhauer

Krikamol Muandet

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Papers citing "Kernel Conditional Density Operators"

19 / 19 papers shown

Title
Sequence Modeling with Spectral Mean Flows Jinwoo Kim Max Beier Nicolas Hoischen Nayun Kim Seunghoon Hong BDL 86 0 0 17 Oct 2025
Kernel Density Machines Damir Filipović P. Schneider 190 1 0 30 Apr 2025
Binary Losses for Density Ratio EstimationInternational Conference on Learning Representations (ICLR), 2024 Werner Zellinger 264 0 0 28 Jan 2025
Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo Ilja Klebanov OT 100 0 0 11 Oct 2024
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization Lukas Gruber Markus Holzleitner Johannes Lehner Sepp Hochreiter Werner Zellinger 183 3 0 21 Feb 2024
Simulating signed mixtures Julien Stoehr Christian P. Robert 48 1 0 30 Jan 2024
On regularized Radon-Nikodym differentiation Duc Hoan Nguyen Werner Zellinger S. Pereverzyev 103 9 0 15 Aug 2023
Adaptive learning of density ratios in RKHSJournal of machine learning research (JMLR), 2023 Werner Zellinger S. Kindermann S. Pereverzyev 138 5 0 30 Jul 2023
General regularization in covariate shift adaptation Hoan Duc Nguyen S. Pereverzyev Werner Zellinger 95 1 0 21 Jul 2023
Minimax Optimal Kernel Operator Learning via Multilevel TrainingInternational Conference on Learning Representations (ICLR), 2022 Jikai Jin Yiping Lu Jose H. Blanchet Lexing Ying 175 13 0 28 Sep 2022
Forward Operator Estimation in Generative Models with Kernel Transfer Operators Z. Huang Rudrasis Chakraborty Vikas Singh GAN 95 3 0 01 Dec 2021
RKHS-SHAP: Shapley Values for Kernel Methods Siu Lun Chau Robert Hu Javier I. González Dino Sejdinovic FAtt 170 32 0 18 Oct 2021
Adaptive joint distribution learningSIAM Journal on Mathematics of Data Science (SIMODS), 2021 Damir Filipović Michael Multerer P. Schneider 211 3 0 10 Oct 2021
Discovering Causal Structure with Reproducing-Kernel Hilbert Space $ε$ -MachinesChaos (CHAOS), 2020 N. Brodu James P. Crutchfield CML 254 16 0 23 Nov 2020
Statistical Optimal Transport posed as Learning Kernel EmbeddingNeural Information Processing Systems (NeurIPS), 2020 SakethaNath Jagarlapudi Pratik Jawanpuria OT 100 17 0 08 Feb 2020
A Rigorous Theory of Conditional Mean EmbeddingsSIAM Journal on Mathematics of Data Science (SIMODS), 2019 I. Klebanov Ingmar Schuster T. Sullivan 173 43 0 02 Dec 2019
Constrained Polynomial LikelihoodSocial Science Research Network (SSRN), 2019 Caio Almeida Ricardo Masini P. Schneider 260 4 0 30 Oct 2019
Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces Mattes Mollenhauer Ingmar Schuster Stefan Klus Christof Schütte 129 21 0 24 Jul 2018
Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces Stefan Klus Ingmar Schuster Krikamol Muandet 175 132 0 05 Dec 2017

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