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Jérôme Malick

UGA, CNRS, Grenoble INP, LJK

What is the long-run distribution of stochastic gradient descent? A large deviations analysis

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Jun 13, 2024
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Universal Generalization Guarantees for Wasserstein Distributionally Robust Models

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Feb 19, 2024
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Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models

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May 26, 2023
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On the rate of convergence of Bregman proximal methods in constrained variational inequalities

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Nov 15, 2022
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Push--Pull with Device Sampling

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Jun 08, 2022
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Federated Learning with Heterogeneous Data: A Superquantile Optimization Approach

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Dec 17, 2021
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The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities

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Jul 05, 2021
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Optimization in Open Networks via Dual Averaging

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May 27, 2021
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Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism

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Dec 21, 2020
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Nonsmoothness in Machine Learning: specific structure, proximal identification, and applications

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Oct 02, 2020
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