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Meta-Learning for Symbolic Hyperparameter Defaults


Jun 11, 2021
Pieter Gijsbers, Florian Pfisterer, Jan N. van Rijn, Bernd Bischl, Joaquin Vanschoren

* Pieter Gijsbers and Florian Pfisterer contributed equally to the paper. V1: Two page GECCO poster paper accepted at GECCO 2021. V2: The original full length paper (8 pages) with appendix 

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Stateless Neural Meta-Learning using Second-Order Gradients


Apr 21, 2021
Mike Huisman, Aske Plaat, Jan N. van Rijn


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A Survey of Deep Meta-Learning


Oct 07, 2020
Mike Huisman, Jan N. van Rijn, Aske Plaat

* Extended version of book chapter in 'Metalearning: Applications to Automated Machine Learning and Data Mining' (2nd edition, forthcoming) 

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OpenML-Python: an extensible Python API for OpenML


Nov 06, 2019
Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter


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Learning Multiple Defaults for Machine Learning Algorithms


Nov 23, 2018
Florian Pfisterer, Jan N. van Rijn, Philipp Probst, Andreas Müller, Bernd Bischl


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The Algorithm Selection Competitions 2015 and 2017


Oct 04, 2018
Marius Lindauer, Jan N. van Rijn, Lars Kotthoff


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OpenML Benchmarking Suites and the OpenML100


Aug 11, 2017
Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Frank Hutter, Michel Lang, Rafael G. Mantovani, Jan N. van Rijn, Joaquin Vanschoren

* Submitted to MLOSS 

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Endgame Analysis of Dou Shou Qi


Apr 25, 2016
Jan N. van Rijn, Jonathan K. Vis

* ICGA Journal, Vol. 37, pp. 120-124, 2014 
* 5 pages, ICGA Journal, Vol. 37, pp. 120-124, 2014 

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OpenML: networked science in machine learning


Aug 01, 2014
Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl, Luis Torgo

* SIGKDD Explor. Newsl. 15, 2 (June 2014), 49-60 
* 12 pages, 10 figures 

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