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Kernel Biclustering algorithm in Hilbert Spaces


Aug 07, 2022
Marcos Matabuena, J. C Vidal, Oscar Hernan Madrid Padilla, Dino Sejdinovic


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Discussion of `Multiscale Fisher's Independence Test for Multivariate Dependence'


Jun 22, 2022
Antonin Schrab, Wittawat Jitkrittum, Zoltán Szabó, Dino Sejdinovic, Arthur Gretton

* 8 pages 

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Explaining Preferences with Shapley Values


May 26, 2022
Robert Hu, Siu Lun Chau, Jaime Ferrando Huertas, Dino Sejdinovic


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Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning


May 12, 2022
Veit D. Wild, Robert Hu, Dino Sejdinovic


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AODisaggregation: toward global aerosol vertical profiles


May 06, 2022
Shahine Bouabid, Duncan Watson-Parris, Sofija Stefanović, Athanasios Nenes, Dino Sejdinovic


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Selection, Ignorability and Challenges With Causal Fairness


Mar 02, 2022
Jake Fawkes, Robin Evans, Dino Sejdinovic

* To appear in Causal Learning and Reasoning 2022. 13 pages main text and 8 pages of appendices 

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Giga-scale Kernel Matrix Vector Multiplication on GPU


Feb 02, 2022
Robert Hu, Dino Sejdinovic, Joan Alexis Glaunès


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Identifying Pauli spin blockade using deep learning


Feb 01, 2022
Jonas Schuff, Dominic T. Lennon, Simon Geyer, David L. Craig, Federico Fedele, Florian Vigneau, Leon C. Camenzind, Andreas V. Kuhlmann, G. Andrew D. Briggs, Dominik M. ZumbĂĽhl, Dino Sejdinovic, Natalia Ares


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A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment


Nov 30, 2021
Robert Hu, Dino Sejdinovic, Robin J. Evans


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