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Generalized vec trick for fast learning of pairwise kernel models

Generalized vec trick for fast learning of pairwise kernel models

2 September 2020
Markus Viljanen
A. Airola
T. Pahikkala
ArXivPDFHTML

Papers citing "Generalized vec trick for fast learning of pairwise kernel models"

10 / 10 papers shown
Title
Kernel methods through the roof: handling billions of points efficiently
Kernel methods through the roof: handling billions of points efficiently
Giacomo Meanti
Luigi Carratino
Lorenzo Rosasco
Alessandro Rudi
68
116
0
18 Jun 2020
Multi-Target Prediction: A Unifying View on Problems and Methods
Multi-Target Prediction: A Unifying View on Problems and Methods
Willem Waegeman
Krzysztof Dembczyñski
Eyke Huellermeier
33
82
0
07 Sep 2018
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge
  Regression
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression
Michiel Stock
T. Pahikkala
A. Airola
B. De Baets
Willem Waegeman
54
24
0
05 Mar 2018
FALKON: An Optimal Large Scale Kernel Method
FALKON: An Optimal Large Scale Kernel Method
Alessandro Rudi
Luigi Carratino
Lorenzo Rosasco
67
196
0
31 May 2017
Symmetric and antisymmetric properties of solutions to kernel-based
  machine learning problems
Symmetric and antisymmetric properties of solutions to kernel-based machine learning problems
G. Gnecco
18
3
0
27 Jun 2016
Fast Kronecker product kernel methods via generalized vec trick
Fast Kronecker product kernel methods via generalized vec trick
A. Airola
T. Pahikkala
30
21
0
07 Jan 2016
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels
T. Pahikkala
Markus Viljanen
A. Airola
Willem Waegeman
17
5
0
19 Jun 2015
A two-step learning approach for solving full and almost full cold start
  problems in dyadic prediction
A two-step learning approach for solving full and almost full cold start problems in dyadic prediction
T. Pahikkala
Michiel Stock
A. Airola
T. Aittokallio
B. De Baets
Willem Waegeman
56
20
0
17 May 2014
Efficient Regularized Least-Squares Algorithms for Conditional Ranking
  on Relational Data
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data
T. Pahikkala
A. Airola
Michiel Stock
B. De Baets
Willem Waegeman
39
38
0
21 Sep 2012
A kernel-based framework for learning graded relations from data
A kernel-based framework for learning graded relations from data
Willem Waegeman
T. Pahikkala
A. Airola
T. Salakoski
Michiel Stock
B. De Baets
57
30
0
28 Nov 2011
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