Malick, Jérôme

15 publications

ICML 2025 The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations Waı̈ss Azizian, Franck Iutzeler, Jerome Malick, Panayotis Mertikopoulos

ICLR 2025 Universal Generalization Guarantees for Wasserstein Distributionally Robust Models Tam Le, Jerome Malick

MLJ 2024 Federated Learning with Superquantile Aggregation for Heterogeneous Data Krishna Pillutla, Yassine Laguel, Jérôme Malick, Zaïd Harchaoui

ICML 2024 What Is the Long-Run Distribution of Stochastic Gradient Descent? a Large Deviations Analysis Waı̈ss Azizian, Franck Iutzeler, Jerome Malick, Panayotis Mertikopoulos

NeurIPS 2023 Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models Waïss Azizian, Franck Iutzeler, Jérôme Malick

NeurIPSW 2022 Differentially Private Federated Quantiles with the Distributed Discrete Gaussian Mechanism Krishna Pillutla, Yassine Laguel, Jérôme Malick, Zaid Harchaoui

JMLR 2022 Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos

NeurIPSW 2022 Tackling Distribution Shifts in Federated Learning with Superquantile Aggregation Krishna Pillutla, Yassine Laguel, Jerome Malick, Zaid Harchaoui

COLT 2021 The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos

NeurIPS 2020 Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos

AISTATS 2019 Model Consistency for Learning with Mirror-Stratifiable Regularizers Jalal Fadili, Guillaume Garrigos, Jérôme Malick, Gabriel Peyré

NeurIPS 2019 On the Convergence of Single-Call Stochastic Extra-Gradient Methods Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos

ICML 2018 A Delay-Tolerant Proximal-Gradient Algorithm for Distributed Learning Konstantin Mishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini

CVPR 2012 Large-Scale Image Classification with Trace-Norm Regularization Zaïd Harchaoui, Matthijs Douze, Mattis Paulin, Miroslav Dudík, Jérôme Malick

AISTATS 2012 Lifted Coordinate Descent for Learning with Trace-Norm Regularization Miroslav Dudik, Zaid Harchaoui, Jerome Malick