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Neural Model-based Optimization with Right-Censored Observations

Sep 29, 2020
Katharina Eggensperger, Kai Haase, Philipp Müller, Marius Lindauer, Frank Hutter


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Auto-Sklearn 2.0: The Next Generation

Jul 08, 2020
Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter


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Prior-guided Bayesian Optimization

Jun 25, 2020
Artur Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter


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Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

Jun 24, 2020
Lucas Zimmer, Marius Lindauer, Frank Hutter


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Learning Heuristic Selection with Dynamic Algorithm Configuration

Jun 15, 2020
David Speck, André Biedenkapp, Frank Hutter, Robert Mattmüller, Marius Lindauer

* 9 pages, 4 figures, 3 tables 

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Best Practices for Scientific Research on Neural Architecture Search

Sep 05, 2019
Marius Lindauer, Frank Hutter


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Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters

Aug 19, 2019
Marius Lindauer, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Frank Hutter

* Accepted at DSO workshop (as part of IJCAI'19) 

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BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters

Aug 16, 2019
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Joshua Marben, Philipp Müller, Frank Hutter


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Towards White-box Benchmarks for Algorithm Control

Jun 18, 2019
André Biedenkapp, H. Furkan Bozkurt, Frank Hutter, Marius Lindauer

* 8 pages, 9 figures 

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Pitfalls and Best Practices in Algorithm Configuration

Oct 11, 2018
Katharina Eggensperger, Marius Lindauer, Frank Hutter


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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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Neural Networks for Predicting Algorithm Runtime Distributions

May 09, 2018
Katharina Eggensperger, Marius Lindauer, Frank Hutter

* International Joint Conference on Artificial Intelligence (2018), 1442--1448 

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Warmstarting of Model-based Algorithm Configuration

Nov 28, 2017
Marius Lindauer, Frank Hutter

* Preprint of AAAI'18 paper 

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Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates

Mar 30, 2017
Katharina Eggensperger, Marius Lindauer, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown


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A case study of algorithm selection for the traveling thief problem

Sep 02, 2016
Markus Wagner, Marius Lindauer, Mustafa Misir, Samadhi Nallaperuma, Frank Hutter

* 23 pages, this article is underview 

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The Configurable SAT Solver Challenge (CSSC)

Aug 02, 2016
Frank Hutter, Marius Lindauer, Adrian Balint, Sam Bayless, Holger Hoos, Kevin Leyton-Brown


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ASlib: A Benchmark Library for Algorithm Selection

Apr 06, 2016
Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Frechette, Holger Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren

* Accepted to be published in Artificial Intelligence Journal 

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claspfolio 2: Advances in Algorithm Selection for Answer Set Programming

May 07, 2014
Holger Hoos, Marius Lindauer, Torsten Schaub

* To appear in Theory and Practice of Logic Programming (TPLP) 

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Solver Scheduling via Answer Set Programming

Jan 06, 2014
Holger Hoos, Roland Kaminski, Marius Lindauer, Torsten Schaub

* To appear in Theory and Practice of Logic Programming (TPLP) 

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