Garrigos, Guillaume

5 publications

TMLR 2025 Tracking the Median of Gradients with a Stochastic Proximal Point Method Fabian Schaipp, Guillaume Garrigos, Umut Simsekli, Robert M. Gower

NeurIPS 2023 Online Inventory Problems: Beyond the I.i.d. Setting with Online Convex Optimization Massil Hihat, Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy

NeurIPS 2023 Provable Convergence Guarantees for Black-Box Variational Inference Justin Domke, Robert Gower, Guillaume Garrigos

AISTATS 2022 SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums Jiabin Chen, Rui Yuan, Guillaume Garrigos, Robert M. Gower

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