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Mathieu Even

Long-Context Linear System Identification

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Oct 08, 2024
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Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem

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May 23, 2024
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Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes

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Apr 15, 2024
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Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization

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Nov 01, 2023
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Generalization Error of First-Order Methods for Statistical Learning with Generic Oracles

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Jul 11, 2023
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Stochastic Gradient Descent under Markovian Sampling Schemes

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Feb 28, 2023
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(S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability

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Feb 17, 2023
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Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays

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Jun 15, 2022
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Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging

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Jun 10, 2022
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A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip

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Jun 10, 2021
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