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hal-03670855v1  Conference papers
Luc Brogat-MotteRémi FlamaryCéline BrouardJuho RousuFlorence d'Alché-Buc. Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
ICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States
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hal-03698207v1  Conference papers
Xavier AllamigeonStéphane GaubertRicardo David KatzMateusz Skomra. Universal Complexity Bounds Based on Value Iteration and Application to Entropy Games
49th International Colloquium on Automata, Languages, and Programming (ICALP 2022), Jul 2022, Paris, France
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tel-03711332v1  Theses
Achille Thin. Novel Variational Approaches to Inference and Learning
Machine Learning [stat.ML]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAX036⟩
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tel-03696751v1  Theses
Apolline Louvet. Probabilistic population genetics models for expanding populations
Probability [math.PR]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAX026⟩
hal-03689703v1  Conference papers
Michaël AlloucheStéphane GirardEmmanuel Gobet. EV-GAN: Simulation of extreme events with ReLU neural networks
EcoSta 2022 - 5th International Conference on Econometrics and Statistics, Jun 2022, Kyoto, Japan
hal-03688584v1  Conference papers
Michaël AlloucheJonathan El MethniStéphane Girard. A refined Weissman estimator for extreme quantiles
EcoSta 2022 - 5th International Conference on Econometrics and Statistics, Jun 2022, Kyoto, Japan