Search Results - "Dieuleveut, Aymeric" :: K.UTB vyhledávací portál

Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning

by Dieuleveut, Aymeric, Fort, Gersende, Moulines, Eric, Wai, Hoi-To
Published in IEEE transactions on signal processing (01.01.2023)

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Counter-examples in first-order optimization: a constructive approach

by Goujaud, Baptiste, Dieuleveut, Aymeric, Taylor, Adrien
Published in IEEE control systems letters (01.01.2023)

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

by Goujaud, Baptiste, Moucer, Céline, Glineur, François, Hendrickx, Julien M., Taylor, Adrien B., Dieuleveut, Aymeric
Published in Mathematical programming computation (01.09.2024)

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

by Philippenko, Constantin, Dieuleveut, Aymeric
Year of Publication 02.08.2023

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Preserved central model for faster bidirectional compression in distributed settings

by Philippenko, Constantin, Dieuleveut, Aymeric
Year of Publication 01.12.2021

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Achieving Optimal Breakdown for Byzantine Robust Gossip

by Gaucher, Renaud, Dieuleveut, Aymeric, Hendrikx, Hadrien
Year of Publication 14.10.2024

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Byzantine-Robust Gossip: Insights from a Dual Approach

by Gaucher, Renaud, Hendrikx, Hadrien, Dieuleveut, Aymeric
Year of Publication 06.05.2024

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On Fundamental Proof Structures in First-Order Optimization

by Goujaud, Baptiste, Dieuleveut, Aymeric, Taylor, Adrien
Year of Publication 03.10.2023

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Bidirectional compression in heterogeneous settings for distributed or federated learning with partial participation: tight convergence guarantees

by Philippenko, Constantin, Dieuleveut, Aymeric
Year of Publication 25.06.2020

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Provable non-accelerations of the heavy-ball method

by Goujaud, Baptiste, Taylor, Adrien, Dieuleveut, Aymeric
Year of Publication 20.07.2023

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Counter-examples in first-order optimization: a constructive approach

by Goujaud, Baptiste, Dieuleveut, Aymeric, Taylor, Adrien
Year of Publication 18.03.2023

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Quadratic minimization: from conjugate gradient to an adaptive Heavy-ball method with Polyak step-sizes

by Goujaud, Baptiste, Taylor, Adrien, Dieuleveut, Aymeric
Year of Publication 12.10.2022

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Predictive Uncertainty Quantification with Missing Covariates

by Zaffran, Margaux, Josse, Julie, Romano, Yaniv, Dieuleveut, Aymeric
Year of Publication 24.05.2024

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

by Philippenko, Constantin, Dieuleveut, Aymeric
Published in arXiv.org (02.08.2023)

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Random features models: a way to study the success of naive imputation

by Ayme, Alexis, Boyer, Claire, Dieuleveut, Aymeric, Scornet, Erwan
Year of Publication 06.02.2024

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Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates

by Leluc, Rémi, Dieuleveut, Aymeric, Portier, François, Segers, Johan, Zhuman, Aigerim
Year of Publication 02.02.2024

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

by Goujaud, Baptiste, Taylor, Adrien, Dieuleveut, Aymeric
Year of Publication 30.05.2022

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Compression with Exact Error Distribution for Federated Learning

by Hegazy, Mahmoud, Leluc, Rémi, Li, Cheuk Ting, Dieuleveut, Aymeric
Year of Publication 31.10.2023

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Proving Linear Mode Connectivity of Neural Networks via Optimal Transport

by Ferbach, Damien, Goujaud, Baptiste, Gidel, Gauthier, Dieuleveut, Aymeric
Year of Publication 29.10.2023

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Differentially Private Federated Learning on Heterogeneous Data

by Noble, Maxence, Bellet, Aurélien, Dieuleveut, Aymeric
Year of Publication 17.11.2021

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