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hal-02382232v1  Conference papers
Tanguy LeventPhilippe PreuxErwan Le PennecJordi BadosaGonzague Henri et al.  Energy Management for Microgrids: a Reinforcement Learning Approach
ISGT-Europe 2019 - IEEE PES Innovative Smart Grid Technologies Europe, Sep 2019, Bucharest, France. pp.1-5, ⟨10.1109/ISGTEurope.2019.8905538⟩
hal-02282219v1  Conference papers
Nicolas AusselFabian DubourvieuxYohan Petetin. Spatio-temporal convolutional neural networks for failure prediction
GRETSI 2019: XXVIIème colloque francophone de traitement du signal et des images, Aug 2019, Lille, France. pp.1-5
tel-03485159v1  Theses
Anas Barakat. Contributions to non-convex stochastic optimization and reinforcement learning
Machine Learning [stat.ML]. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAT030⟩
tel-03485328v1  Theses
Louis Faury. Variance-sensitive confidence intervals for parametric and offline bandits
Statistics [math.ST]. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAT046⟩
tel-03650864v1  Theses
Guillaume Staerman. Functional anomaly detection and robust estimation
Machine Learning [stat.ML]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT021⟩
hal-03559386v1  Conference papers
Stéphan ClémençonGuillaume AussetFrançois Portier. Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications
24th International Conference on Artificial Intelligence and Statistics ( AISTATS2021), 2021, Virtual, France
hal-03559387v1  Conference papers
Stéphan ClémençonRobin VogelMastane AchabCharles Tillier. Weighted Empirical Risk Minimization: Transfer Learning based on Importance Sampling
28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning ( ESANN 2020), 2020, Bruges (on line), Belgium
hal-03559370v1  Conference papers
Stéphan ClémençonPatrice BertailYannick GuyonvarchNathan Noiry. Learning from Biased Data: A Semi-Parametric Approach
38th International Conference on Machine Learning (ICML 2021), 2021, Bilbao, Spain
hal-03559365v1  Journal articles
Guillaume AussetStéphan ClémençonFrançois Portier. Empirical Risk Minimization under Random Censorship
Journal of Machine Learning Research, Microtome Publishing, 2022
tel-03380450v1  Theses
Laura Tinsi. Modeling and optimal strategies in short-term energy markets
Optimization and Control [math.OC]. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAG005⟩
tel-02430579v2  Theses
Nicolas Brosse. Autour de l'algorithme du Langevin : extensions et applications
Machine Learning [stat.ML]. Université Paris Saclay (COmUE), 2019. Français. ⟨NNT : 2019SACLX014⟩
hal-03333516v3  Conference papers
Aymeric DieuleveutGersende FortEric MoulinesGeneviève Robin. Federated Expectation Maximization with heterogeneity mitigation and variance reduction
NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Sydney, Australia
hal-03021394v2  Conference papers
Gersende FortEric MoulinesHoi-To Wai. Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada
hal-03029700v1  Conference papers
Gersende FortEric MoulinesHoi-To Wai. A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtuel, Canada
hal-03183775v2  Conference papers
Gersende FortE Moulines. The perturbed prox-preconditioned spider algorithm: non-asymptotic convergence bounds
SSP 2021 - IEEE Statistical Signal Processing Workshop, Jul 2021, Rio de Janeiro, Brazil
hal-03183774v2  Conference papers
Gersende FortEric Moulines. The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learning
SSP 2021 - IEEE Statistical Signal Processing Workshop, Jul 2021, Rio de Janeiro, Brazil
tel-03084452v1  Theses
Boris Muzellec. Leveraging regularization, projections and elliptical distributions in optimal transport
Optimization and Control [math.OC]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAG009⟩
tel-02913708v1  Theses
Mamadou Dione. Prévision court terme de la production éolienne par Machine learning
Statistiques [math.ST]. Institut Polytechnique de Paris, 2020. Français. ⟨NNT : 2020IPPAG004⟩