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Aymeric Dieuleveut

34
Documents

Publications

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Compression with Exact Error Distribution for Federated Learning

Mahmoud Hegazy , Rémi Leluc , Cheuk Ting Li , Aymeric Dieuleveut
International Conference on Artificial Intelligence and Statistics, May 2024, Valencia (Espagne), Spain. pp.613-621
Communication dans un congrès hal-04554506v1
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Proving Linear Mode Connectivity of Neural Networks via Optimal Transport

Damien Ferbach , Baptiste Goujaud , Gauthier Gidel , Aymeric Dieuleveut
27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), May 2024, Valence, Spain. pp.3853-3861
Communication dans un congrès hal-04554453v1
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Naive imputation implicitly regularizes high-dimensional linear models

Alexis Ayme , Claire Boyer , Aymeric Dieuleveut , Erwan Scornet
International Conference on Machine Learning, Jul 2023, Hawai, USA, United States
Communication dans un congrès hal-03958825v1
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Conformal Prediction with Missing Values

Margaux Zaffran , Aymeric Dieuleveut , Julie Josse , Yaniv Romano
ICML 2023 - 40 th International Conference on Machine Learning, Jul 2023, Honolulu (Hawai), United States. pp.40578
Communication dans un congrès hal-03896384v4
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On Fundamental Proof Structures in First-Order Optimization

Baptiste Goujaud , Aymeric Dieuleveut , Adrien Taylor
Conference on Decision and Control, Tutorial sessions, Dec 2023, Marina Bay Sands, Singapore. ⟨10.48550/arXiv.2310.02015⟩
Communication dans un congrès hal-04384178v1

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings

Jean Ogier Du Terrail , Samy-Safwan Ayed , Edwige Cyffers , Felix Grimberg , Chaoyang He
NeurIPS 2022 - Thirty-sixth Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States
Communication dans un congrès hal-03900026v1

Super-Acceleration with Cyclical Step-sizes

Baptiste Goujaud , Damien Scieur , Aymeric Dieuleveut , Adrien Taylor , Fabian Pedregosa
International Conference on Artificial Intelligence and Statistics, Mar 2022, Virtual conference, France
Communication dans un congrès hal-03377367v1
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Adaptive Conformal Predictions for Time Series

Margaux Zaffran , Olivier Féron , Yannig Goude , Julie Josse , Aymeric Dieuleveut
PMLR 2022 - Proceedings of Machine Learning Research, Jul 2022, Baltimor - Maryland, United States
Communication dans un congrès hal-03573934v2
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Near-optimal rate of consistency for linear models with missing values

Alexis Ayme , Claire Boyer , Aymeric Dieuleveut , Erwan Scornet
International Conference on Machine Learning,, Jul 2022, Baltimore MD, United States
Communication dans un congrès hal-03552109v2
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QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning

Maxime Vono , Vincent Plassier , Alain Durmus , Aymeric Dieuleveut , Eric Moulines
International Conference on Artificial Intelligence and Statistics, 2022, Online, France
Communication dans un congrès hal-03589952v1
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Differentially Private Federated Learning on Heterogeneous Data

Maxence Noble , Aurélien Bellet , Aymeric Dieuleveut
Proceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022, Virtual, Spain
Communication dans un congrès hal-03905078v1
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Federated Expectation Maximization with heterogeneity mitigation and variance reduction

Aymeric Dieuleveut , Gersende Fort , Eric Moulines , Geneviève Robin
NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Sydney, Australia
Communication dans un congrès hal-03333516v3
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Preserved central model for faster bidirectional compression in distributed settings

Constantin Philippenko , Aymeric Dieuleveut
35th Conference on Neural Information Processing Systems, Dec 2021, Virtual-only Conference, France. pp.2387-2399
Communication dans un congrès hal-04255271v1
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Debiasing Stochastic Gradient Descent to handle missing values

Aude Sportisse , Claire Boyer , Aymeric Dieuleveut , Julie Josse
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver, Canada
Communication dans un congrès hal-02483651v2
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On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent

Scott Pesme , Aymeric Dieuleveut , Nicolas Flammarion
37th International Conference on Machine Learning (ICML 2020), Jul 2020, Vienne (en ligne), Austria. pp.119:7641-7651
Communication dans un congrès hal-04554421v1
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Unsupervised Scalable Representation Learning for Multivariate Time Series

Jean-Yves Franceschi , Aymeric Dieuleveut , Martin Jaggi
Thirty-third Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, Dec 2019, Vancouver, Canada. pp.4650--4661
Communication dans un congrès hal-01998101v4
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Unsupervised Scalable Representation Learning for Multivariate Time Series

Jean-Yves Franceschi , Aymeric Dieuleveut , Martin Jaggi
Hanna Wallach; Hugo Larochelle; Alina Beygelzimer; Florence d'Alché-Buc; Emily Fox; Roman Garnett. Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. Curran Associates, Inc., 32, Advances in Neural Information Processing Systems
Poster de conférence hal-02320167v2

Provable non-accelerations of the heavy-ball method

Baptiste Goujaud , Adrien Taylor , Aymeric Dieuleveut
2024
Pré-publication, Document de travail hal-04384188v1

Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning

Aymeric Dieuleveut , Constantin Philippenko
2024
Pré-publication, Document de travail hal-04504217v1
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Random features models: a way to study the success of naive imputation

Alexis Ayme , Claire Boyer , Aymeric Dieuleveut , Erwan Scornet
2024
Pré-publication, Document de travail hal-04440304v1

Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning

Aymeric Dieuleveut , Constantin Philippenko
2024
Pré-publication, Document de travail hal-04504245v1
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Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates

Rémi Leluc , Aymeric Dieuleveut , François Portier , Johan Segers , Aigerim Zhuman
2024
Pré-publication, Document de travail hal-04438124v1

PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python

Baptiste Goujaud , Céline Moucer , François Glineur , Julien Hendrickx , Adrien Taylor
2022
Pré-publication, Document de travail hal-03780353v1

Optimal first-order methods for convex functions with a quadratic upper bound

Baptiste Goujaud , Adrien Taylor , Aymeric Dieuleveut
2022
Pré-publication, Document de travail hal-03780321v1
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Differentially Private Federated Learning on Heterogeneous Data

Maxence Noble , Aurélien Bellet , Aymeric Dieuleveut
2021
Pré-publication, Document de travail hal-03498158v1
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Artemis: tight convergence guarantees for bidirectional compression in heterogeneous settings for federated learning

Constantin Philippenko , Aymeric Dieuleveut
2020
Pré-publication, Document de travail hal-04350055v1
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Stochastic approximation in Hilbert spaces

Aymeric Dieuleveut
Statistics [math.ST]. Université Paris sciences et lettres, 2017. English. ⟨NNT : 2017PSLEE059⟩
Thèse tel-01705522v2