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2020 – today
- 2024
[c3]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: 109-117- 2023
- [i5]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 abs/2302.10128 (2023) - 2022
- [j1]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: 344:1-344:50 (2022) - [c2]Luc Brogat-Motte, Rémi Flamary, Céline Brouard
, Juho Rousu, Florence d'Alché-Buc:
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. ICML 2022: 2321-2335 - [i4]Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc:
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. CoRR abs/2202.03813 (2022) - [i3]Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc:
Vector-Valued Least-Squares Regression under Output Regularity Assumptions. CoRR abs/2211.08958 (2022) - 2020
- [c1]Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d'Alché-Buc:
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses. ICML 2020: 5598-5607 - [i2]Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc:
Learning Output Embeddings in Structured Prediction. CoRR abs/2007.14703 (2020)
2010 – 2019
- 2019
- [i1]Pierre Laforgue, Alex Lambert, Luc Motte, Florence d'Alché-Buc:
On the Dualization of Operator-Valued Kernel Machines. CoRR abs/1910.04621 (2019)
Coauthor Index
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