Luc Brogat-Motte
4 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Keywords
structured prediction
(2)
graph prediction
(1)
optimal transport
(1)
multi-label classification
(1)
image reconstruction
(1)
reproducing kernel hilbert space
(1)
labeled graphs
(1)
least squares regression
(1)
excess risk bound
(1)
matrix sketching
(1)
feature map
(1)
functional regression
(1)
covariance operator
(1)
operator-valued kernel
(1)
reduced-rank regression
(1)
robust loss
(1)
surrogate kernel
(1)
kernel methods
(1)
fused gromov-wasserstein
(1)
output regularity
(1)
Papers
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
AISTATS 2024
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
ICML 2022
Vector-Valued Least-Squares Regression under Output Regularity Assumptions
JMLR 2022
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
ICML 2020