Brogat-Motte, Luc

5 publications

NeurIPS 2025 Safely Learning Controlled Stochastic Dynamics Luc Brogat-Motte, Alessandro Rudi, Riccardo Bonalli

AISTATS 2024 Sketch in, Sketch Out: Accelerating Both Learning and Inference for Structured Prediction with Kernels Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d’Alché-Buc

ICML 2022 Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters Luc Brogat-Motte, Rémi Flamary, Celine Brouard, Juho Rousu, Florence D’Alché-Buc

JMLR 2022 Vector-Valued Least-Squares Regression Under Output Regularity Assumptions Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc

ICML 2020 Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence D’Alché-Buc