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Kevin Scaman

MSR - INRIA

In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting

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Sep 13, 2024
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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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Convergence beyond the over-parameterized regime using Rayleigh quotients

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Jan 19, 2023
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Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize

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Jun 02, 2021
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Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks

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Mar 08, 2021
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Improving Hierarchical Adversarial Robustness of Deep Neural Networks

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Feb 17, 2021
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Ego-based Entropy Measures for Structural Representations on Graphs

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Feb 17, 2021
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Ego-based Entropy Measures for Structural Representations

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Mar 01, 2020
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Coloring graph neural networks for node disambiguation

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Dec 12, 2019
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Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning

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Oct 11, 2019
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