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Infinite-Task Learning with RKHSs
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Infinite-Task Learning with RKHSs

Romain Brault
Alex Lambert
Z. Szabó
Maxime Sangnier
Florence dÁlché-Buc
ArXiv (abs)PDFHTML

Papers citing "Infinite-Task Learning with RKHSs"

6 / 6 papers shown
Title
Consistent Multitask Learning with Nonlinear Output Relations
Consistent Multitask Learning with Nonlinear Output Relations
C. Ciliberto
Alessandro Rudi
Lorenzo Rosasco
Massimiliano Pontil
60
33
0
23 May 2017
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
282
11,151
0
14 Mar 2016
Operator-valued Kernels for Learning from Functional Response Data
Operator-valued Kernels for Learning from Functional Response Data
Hachem Kadri
E. Duflos
Philippe Preux
S. Canu
A. Rakotomamonjy
Julien Audiffren
68
130
0
28 Oct 2015
Stability of Multi-Task Kernel Regression Algorithms
Stability of Multi-Task Kernel Regression Algorithms
Julien Audiffren
Hachem Kadri
62
15
0
17 Jun 2013
Optimization with Sparsity-Inducing Penalties
Optimization with Sparsity-Inducing Penalties
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
216
1,058
0
03 Aug 2011
Kernels for Vector-Valued Functions: a Review
Kernels for Vector-Valued Functions: a Review
Mauricio A. Alvarez
Lorenzo Rosasco
Neil D. Lawrence
GP
210
929
0
30 Jun 2011