Sangnier, Maxime

7 publications

AISTATS 2025 Nonparametric Estimation of Hawkes Processes with RKHSs Anna Bonnet, Maxime Sangnier

JMLR 2021 Some Theoretical Insights into Wasserstein GANs Gérard Biau, Maxime Sangnier, Ugo Tanielian

AISTATS 2019 Infinite Task Learning in RKHSs Romain Brault, Alex Lambert, Zoltan Szabo, Maxime Sangnier, Florence d’Alche-Buc

MLJ 2018 Output Fisher Embedding Regression Moussab Djerrab, Alexandre Garcia, Maxime Sangnier, Florence d'Alché-Buc

ACML 2017 Data Sparse Nonparametric Regression with $ε$-Insensitive Losses Maxime Sangnier, Olivier Fercoq, Florence d’Alché-Buc

ICML 2016 Early and Reliable Event Detection Using Proximity Space Representation Maxime Sangnier, Jerome Gauthier, Alain Rakotomamonjy

NeurIPS 2016 Joint Quantile Regression in Vector-Valued RKHSs Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc