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deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression

Apr 06, 2021
David Rügamer, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Nadja Klein, Chris Kolb, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Christian L. Müller

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Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features

Apr 01, 2021
Florian Pargent, Florian Pfisterer, Janek Thomas, Bernd Bischl

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Debiasing classifiers: is reality at variance with expectation?

Nov 04, 2020
Ashrya Agrawal, Florian Pfisterer, Bernd Bischl, Jiahao Chen, Srijan Sood, Sameena Shah, Francois Buet-Golfouse, Bilal A Mateen, Sebastian Vollmer

* 11 pages, under review 

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Neural Mixture Distributional Regression

Oct 14, 2020
David Rügamer, Florian Pfisterer, Bernd Bischl

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Benchmarking time series classification -- Functional data vs machine learning approaches

Nov 18, 2019
Florian Pfisterer, Laura Beggel, Xudong Sun, Fabian Scheipl, Bernd Bischl

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Towards Human Centered AutoML

Nov 06, 2019
Florian Pfisterer, Janek Thomas, Bernd Bischl

* 4 pages 

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Multi-Objective Automatic Machine Learning with AutoxgboostMC

Aug 28, 2019
Florian Pfisterer, Stefan Coors, Janek Thomas, Bernd Bischl


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High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions

Feb 24, 2019
Xudong Sun, Andrea Bommert, Florian Pfisterer, Jörg Rahnenführer, Michel Lang, Bernd Bischl

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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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mlr Tutorial

Sep 18, 2016
Julia Schiffner, Bernd Bischl, Michel Lang, Jakob Richter, Zachary M. Jones, Philipp Probst, Florian Pfisterer, Mason Gallo, Dominik Kirchhoff, Tobias Kühn, Janek Thomas, Lars Kotthoff

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