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Nonlinear Functional Output Regression: a Dictionary Approach
v1v2v3v4 (latest)

Nonlinear Functional Output Regression: a Dictionary Approach

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
3 March 2020
Dimitri Bouche
Marianne Clausel
François Roueff
Florence dÁlché-Buc
ArXiv (abs)PDFHTML

Papers citing "Nonlinear Functional Output Regression: a Dictionary Approach"

3 / 3 papers shown
FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression
FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression
Yifei Gao
Yong Chen
Chen Zhang
105
0
0
01 Oct 2025
Functional Output Regression with Infimal Convolution: Exploring the
  Huber and $ε$-insensitive Losses
Functional Output Regression with Infimal Convolution: Exploring the Huber and εεε-insensitive LossesInternational Conference on Machine Learning (ICML), 2022
Alex Lambert
Dimitri Bouche
Z. Szabó
Florence dÁlché-Buc
UQCV
108
7
0
16 Jun 2022
Handling Hard Affine SDP Shape Constraints in RKHSs
Handling Hard Affine SDP Shape Constraints in RKHSsJournal of machine learning research (JMLR), 2021
Pierre-Cyril Aubin-Frankowski
Z. Szabó
315
10
0
05 Jan 2021
1
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