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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

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 of Machine Learning Research, 2020, 21, pp.1-47. ⟨10.48550/arXiv.1905.04281⟩
Journal articles hal-03874496v1
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Prévision multi-échelle par agrégation de forêts aléatoires. Application à la consommation électrique.

Benjamin Goehry
Méthodologie [stat.ME]. Université Paris-Saclay, 2019. Français. ⟨NNT : 2019SACLS461⟩
Theses tel-02421110v1

Robust machine learning by median-of-means : theory and practice

Guillaume Lecué , Matthieu Lerasle
Annals of Statistics, 2020, ⟨10.1214/19-AOS1828⟩
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

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

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

Set-valued classification -- overview via a unified framework

Evgenii Chzhen , Christophe Denis , Mohamed Hebiri , Titouan Lorieul
2021
Preprints, Working Papers, ... hal-03154625v1

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
ESAIM: Probability and Statistics, 2020, 24, pp.801-826. ⟨10.1051/ps/2020015⟩
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
Statistics [math.ST]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASM040⟩
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
Electronic Journal of Statistics , 2020, 14, ⟨10.1214/20-ejs1754⟩
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
Machine Learning [stat.ML]. Université Paris-Saclay, 2020. Français. ⟨NNT : 2020UPASM009⟩
Theses tel-02957602v2

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