Yger, Florian

19 publications

TMLR 2025 Geometry-Aware Visualization of High Dimensional Symmetric Positive Definite Matrices Thibault de Surrel, Sylvain Chevallier, Fabien Lotte, Florian Yger

ICML 2025 Wrapped Gaussian on the Manifold of Symmetric Positive Definite Matrices Thibault De Surrel, Fabien Lotte, Sylvain Chevallier, Florian Yger

AISTATS 2023 Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger

UAI 2022 Multi-Winner Approval Voting Goes Epistemic Tahar Allouche, Jérôme Lang, Florian Yger

MLJ 2022 On the Robustness of Randomized Classifiers to Adversarial Examples Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif

AAAI 2022 Truth-Tracking via Approval Voting: Size Matters Tahar Allouche, Jérôme Lang, Florian Yger

ICML 2021 Mediated Uncoupled Learning: Learning Functions Without Direct Input-Output Correspondences Ikko Yamane, Junya Honda, Florian Yger, Masashi Sugiyama

ICLRW 2021 Scaling up Graph Homomorphism Features with Efficient Data Structures Paul Beaujean, Florian Sikora, Florian Yger

ACML 2020 Geodesically-Convex Optimization for Averaging Partially Observed Covariance Matrices Florian Yger, Sylvain Chevallier, Quentin Barthélemy, Suvrit Sra

NeurIPS 2019 Theoretical Evidence for Adversarial Robustness Through Randomization Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cedric Gouy-Pailler, Jamal Atif

UAI 2018 Graph-Based Clustering Under Differential Privacy Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif

NeurIPS 2018 Uplift Modeling from Separate Labels Ikko Yamane, Florian Yger, Jamal Atif, Masashi Sugiyama

MLJ 2017 Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices Inbal Horev, Florian Yger, Masashi Sugiyama

ACML 2017 Recognizing Art Style Automatically in Painting with Deep Learning Adrian Lecoutre, Benjamin Negrevergne, Florian Yger

ACML 2016 Geometry-Aware Stationary Subspace Analysis Inbal Horev, Florian Yger, Masashi Sugiyama

ACML 2016 Multitask Principal Component Analysis Ikko Yamane, Florian Yger, Maxime Berar, Masashi Sugiyama

ACML 2015 Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices Inbal Horev, Florian Yger, Masashi Sugiyama

MLJ 2013 Learning with Infinitely Many Features Alain Rakotomamonjy, Rémi Flamary, Florian Yger

ICML 2012 Adaptive Canonical Correlation Analysis Based on Matrix Manifolds Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy