26 citations · 133 across the 25 of their papers we have counts for
3 papers · 1 filter
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
Waïss Azizian, Franck Iutzeler, Jérôme Malick
Wasserstein distributionally robust estimators have emerged as powerful models for prediction and decision-making under uncertainty. These estimators provide attractive generalizat…
Federated Learning with Superquantile Aggregation for Heterogeneous Data
Krishna Pillutla, Yassine Laguel, Jérôme Malick +1
We present a federated learning framework that is designed to robustly deliver good predictive performance across individual clients with heterogeneous data. The proposed approach…
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick +1
In this paper, we provide a general framework for studying multi-agent online learning problems in the presence of delays and asynchronicities. Specifically, we propose and analyze…