Luc Brogat-Motte

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Structured Prediction

Max Margin Learning

Infinite Dimensional

Reproducing Kernel Hilbert Space

Top Venues

J. Mach. Learn. Res.

Publications

Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d'Alché-Buc
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels. AISTATS (2024)
Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d'Alché-Buc
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels. CoRR (2023)
Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. CoRR (2022)
Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Vector-Valued Least-Squares Regression under Output Regularity Assumptions. CoRR (2022)
Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. ICML (2022)
Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Vector-Valued Least-Squares Regression under Output Regularity Assumptions. J. Mach. Learn. Res. 23 (2022)
Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d'Alché-Buc
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses. ICML (2020)
Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Learning Output Embeddings in Structured Prediction. CoRR (2020)