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Learning Classifiers with Fenchel-Young Losses: Generalized Entropies,
  Margins, and Algorithms

Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms

24 May 2018
Mathieu Blondel
André F. T. Martins
Vlad Niculae
    FedML
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Papers citing "Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms"

3 / 3 papers shown
Title
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Tingting Wang
Jiaxin Su
Haobing Liu
Ruobing Jiang
198
0
0
15 Mar 2025
A Regularized Framework for Sparse and Structured Neural Attention
A Regularized Framework for Sparse and Structured Neural Attention
Vlad Niculae
Mathieu Blondel
78
100
0
22 May 2017
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly
  Convex Composite Objectives
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
Aaron Defazio
Francis R. Bach
Simon Lacoste-Julien
ODL
131
1,823
0
01 Jul 2014
1