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On Mutual Information Maximization for Representation Learning

Jul 31, 2019
Michael Tschannen, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, Mario Lucic

* Michael Tschannen and Josip Djolonga contributed equally 

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Practical and Consistent Estimation of f-Divergences

May 27, 2019
Paul K. Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya Tolstikhin

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The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA

May 16, 2019
Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf

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An Empirical Study of Generative Models with Encoders

Dec 19, 2018
Paul K. Rubenstein, Yunpeng Li, Dominik Roblek

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From Deterministic ODEs to Dynamic Structural Causal Models

Jul 09, 2018
Paul K. Rubenstein, Stephan Bongers, Bernhard Schoelkopf, Joris M. Mooij

* Accepted for publication in Conference on Uncertainy in Artificial Intelligence 

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On the Latent Space of Wasserstein Auto-Encoders

Feb 11, 2018
Paul K. Rubenstein, Bernhard Schoelkopf, Ilya Tolstikhin

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Causal Consistency of Structural Equation Models

Jul 04, 2017
Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf

* Proceedings of the Annual Conference on Uncertainty in Artificial Intelligence, UAI 2017 
* equal contribution between Rubenstein and Weichwald; accepted manuscript 

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Probabilistic Active Learning of Functions in Structural Causal Models

Jun 30, 2017
Paul K. Rubenstein, Ilya Tolstikhin, Philipp Hennig, Bernhard Schoelkopf

* 9 pages main text + 4 pages supplement 

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A Kernel Test for Three-Variable Interactions with Random Processes

Mar 08, 2016
Paul K. Rubenstein, Kacper P. Chwialkowski, Arthur Gretton

* 15 pages including 5 pages of supplementary material, 3 figures 

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