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Une étude croisée pour identifier les facteurs d’échec/réussite au semestre 1 afin d’aider les étudiants dans leurs apprentissages
Isabelle Bournaud
,
Véronique Depoutot
,
Patrick Pamphile
30ème Colloque de l'ADMEE, Jan 2018, Luxembourg, Luxembourg
Conference papers
hal-03184765v1
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Réalisation d’études quantitatives pour des entreprises
Isabelle Bournaud
,
Patrick Pamphile
Le projet : les pratiques en IUT, , 2017, 978-2-343-10803-2
Book sections
hal-03184771v1
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The price of unfairness in linear bandits with biased feedback
Solenne Gaucher
,
Alexandra Carpentier
,
Christophe Giraud
NeurIPS 2022, Nov 2022, New Orleans, United States
Conference papers
hal-03611628v3
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Training Integrable Parameterizations of Deep Neural Networks in the Infinite-Width Limit
Karl Hajjar
,
Lénaïc Chizat
,
Christophe Giraud
2021
Preprints, Working Papers, ...
hal-03388815v3
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Robust high dimensional learning for Lipschitz and convex losses
Geoffrey Chinot
,
Matthieu Lerasle
,
Guillaume Lecué
Journal articles
hal-03874496v1
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Prévision multi-échelle par agrégation de forêts aléatoires. Application à la consommation électrique.
Benjamin Goehry
Theses
tel-02421110v1
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Robust machine learning by median-of-means : theory and practice
Guillaume Lecué
,
Matthieu Lerasle
Journal articles
hal-01923036v1
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Risk bounds for PU learning under Selected At Random assumption
Olivier Coudray
,
Christine Keribin
,
Pascal Massart
,
Patrick Pamphile
2022
Preprints, Working Papers, ...
hal-03526889v1
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Caractérisation de zones critiques pour le dimensionnement en fatigue d'une pièce mécanique
Olivier Coudray
,
Philippe Bristiel
,
Miguel Dinis
,
Christine Keribin
,
Patrick Pamphile
et al.
E-congrès 2020 Lambda λµ22 - 22e Congrès de Maîtrise des Risques et Sûreté de Fonctionnement λµ22, Aug 2020, Le Havre / Virtual, France
Conference papers
hal-03121282v1
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Parameter-free projected gradient descent
Evgenii Chzhen
,
Christophe Giraud
,
Gilles Stoltz
2023
Preprints, Working Papers, ...
hal-04105636v1
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Daily peak electrical load forecasting with a multi-resolution approach
Yvenn Amara-Ouali
,
Matteo Fasiolo
,
Yannig Goude
,
Hui Yan
International Journal of Forecasting, 2022
Journal articles
hal-03469721v1
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Trade-off between prediction and FDR for high-dimensional Gaussian model selection
Perrine Lacroix
,
Marie-Laure Martin
2023
Preprints, Working Papers, ...
hal-03978309v1
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Partial recovery bounds for clustering with the relaxed $K$-means
Christophe Giraud
,
Nicolas Verzelen
Mathematical Statistics and Learning, 2018, 1 (3), pp.317-374. ⟨10.4171/MSL/8⟩
Journal articles
hal-02966834v1
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Fair Regression with Wasserstein Barycenters
Evgenii Chzhen
,
Christophe Denis
,
Mohamed Hebiri
,
Luca Oneto
,
Massimiliano Pontil
et al.
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtuel, Canada
Conference papers
hal-02866811v1
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Classification with abstention but without disparities
Nicolas Schreuder
,
Evgenii Chzhen
Conference on Uncertainty in Artificial Intelligence (UAI 2021), Jul 2021, Virtual conference, Australia
Conference papers
hal-03152091v1
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Set-valued classification -- overview via a unified framework
Evgenii Chzhen
,
Christophe Denis
,
Mohamed Hebiri
,
Titouan Lorieul
2021
Preprints, Working Papers, ...
hal-03154625v1
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Online Orthogonal Matching Pursuit
El Mehdi Saad
,
Gilles Blanchard
,
Sylvain Arlot
2021
Preprints, Working Papers, ...
hal-03141061v1
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Random forests for time-dependent processes
Benjamin Goehry
Journal articles
hal-03022876v1
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Localization in 1D non-parametric latent space models from pairwise affinities
Christophe Giraud
,
Yann Issartel
,
Nicolas Verzelen
2021
Preprints, Working Papers, ...
hal-03317631v1
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A statistical point of view on fatigue criteria : from supervised classification to positive-unlabeled learning
Olivier Coudray
Theses
tel-03934858v1
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ISDE : Independence Structure Density Estimation
Louis Pujol
2022
Preprints, Working Papers, ...
hal-03401530v4
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ERM and RERM are optimal estimators for regression problems when malicious outliers corrupt the labels
Geoffrey Chinot
Journal articles
hal-03874524v1
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Numerical performance of Penalized Comparison to Overfitting for multivariate kernel density estimation
Suzanne Varet
,
Claire Lacour
,
Pascal Massart
,
Vincent Rivoirard
2019
Preprints, Working Papers, ...
hal-02002275v1
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Adaptation to the Range in $K$-Armed Bandits
Hédi Hadiji
,
Gilles Stoltz
2022
Preprints, Working Papers, ...
hal-02794382v3
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Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach
Filippo Antonazzo
,
Christophe Biernacki
,
Christine Keribin
Working Group - Model-based Clustering, Oct 2021, Athens, Greece
Conference papers
hal-03505673v1
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Optimality of variational inference for stochastic block model with missing links
Solenne Gaucher
,
Olga Klopp
35th Conference on Neural Information Processing Systems (NeurIPS 2021), Dec 2021, Online, France
Conference papers
hal-03393160v2
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Outliers Detection in Networks with Missing Links
Solenne Gaucher
,
Olga Klopp
,
Geneviève Robin
Computational Statistics and Data Analysis, 2021, 164, pp.107308
Journal articles
hal-02386940v2
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Apprentissage et prévision séquentiels : bornes uniformes pour le regret linéaire et séries temporelles hiérarchiques
Malo Huard
Theses
tel-02957602v2
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Cross-validation improved by aggregation: Agghoo
Guillaume Maillard
,
Sylvain Arlot
,
Matthieu Lerasle
2017
Preprints, Working Papers, ...
hal-03094497v1
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Nonparametric estimation of a multivariate density under Kullback-Leibler loss with ISDE
Louis Pujol
2022
Preprints, Working Papers, ...
hal-03660157v1
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