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Depth-based pseudo-metrics between probability distributions


Mar 23, 2021
Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon, Florence d'Alché-Buc


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Emotion Transfer Using Vector-Valued Infinite Task Learning


Feb 09, 2021
Alex Lambert, Sanjeel Parekh, Zoltán Szabó, Florence d'Alché-Buc

* 17 pages, 10 figures 

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Learning Output Embeddings in Structured Prediction


Jul 30, 2020
Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc


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When OT meets MoM: Robust estimation of Wasserstein Distance


Jun 18, 2020
Guillaume Staerman, Pierre Laforgue, Pavlo Mozharovskyi, Florence d'Alché-Buc


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Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)


Apr 02, 2020
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily Fox, Hugo Larochelle


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Nonlinear Functional Output Regression: a Dictionary Approach


Mar 03, 2020
Dimitri Bouche, Marianne Clausel, François Roueff, Florence d'Alché-Buc


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On the Dualization of Operator-Valued Kernel Machines


Oct 10, 2019
Pierre Laforgue, Alex Lambert, Luc Motte, Florence d'Alché-Buc


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From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining


Sep 10, 2019
Alexandre Garcia, Pierre Colombo, Slim Essid, Florence d'Alché-Buc, Chloé Clavel

* Accepted to 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP) and 9th International Joint Conference on Natural Language Processing (IJCNLP) 

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Functional Isolation Forest


Apr 09, 2019
Guillaume Staerman, Pavlo Mozharovskyi, Stephan Clémençon, Florence d'Alché-Buc


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A multimodal movie review corpus for fine-grained opinion mining


Feb 26, 2019
Alexandre Garcia, Slim Essid, Florence d'Alché-Buc, Chloé Clavel


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Autoencoding any Data through Kernel Autoencoders


Oct 11, 2018
Pierre Laforgue, Stephan Clémençon, Florence d'Alché-Buc


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Infinite-Task Learning with RKHSs


Oct 11, 2018
Romain Brault, Alex Lambert, Zoltán Szabó, Maxime Sangnier, Florence d'Alché-Buc

* 23 pages, 6 figures, 3 tables 

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Structured Output Learning with Abstention: Application to Accurate Opinion Prediction


Jun 08, 2018
Alexandre Garcia, Slim Essid, Chloé Clavel, Florence d'Alché-Buc


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Random Fourier Features for Operator-Valued Kernels


May 24, 2016
Romain Brault, Florence d'Alché-Buc, Markus Heinonen

* ACML, Hamilton, New-Zealand, JMLR Workshop and Conference Proceedings, November 2016, vol. 63, pp. 110-125 
* 32 pages, 6 figures 

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Learning nonparametric differential equations with operator-valued kernels and gradient matching


Nov 19, 2014
Markus Heinonen, Florence d'Alché-Buc


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