Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Marius Lindauer

Marius Lindauer

Institute for Information Processing, Leibniz University Hannover

Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges


Jul 14, 2021
Bernd Bischl, Martin Binder, Michel Lang, Tobias Pielok, Jakob Richter, Stefan Coors, Janek Thomas, Theresa Ullmann, Marc Becker, Anne-Laure Boulesteix, Difan Deng, Marius Lindauer


  Access Paper or Ask Questions

Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data


Jun 21, 2021
Arlind Kadra, Marius Lindauer, Frank Hutter, Josif Grabocka


  Access Paper or Ask Questions

Automatic Risk Adaptation in Distributional Reinforcement Learning


Jun 11, 2021
Frederik Schubert, Theresa Eimer, Bodo Rosenhahn, Marius Lindauer


  Access Paper or Ask Questions

TempoRL: Learning When to Act


Jun 09, 2021
André Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer

* Accepted at ICML'21 

  Access Paper or Ask Questions

Self-Paced Context Evaluation for Contextual Reinforcement Learning


Jun 09, 2021
Theresa Eimer, André Biedenkapp, Frank Hutter, Marius Lindauer


  Access Paper or Ask Questions

DACBench: A Benchmark Library for Dynamic Algorithm Configuration


May 18, 2021
Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer

* Accepted at IJCAI 2021 

  Access Paper or Ask Questions

Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization


May 03, 2021
Julia Guerrero-Viu, Sven Hauns, Sergio Izquierdo, Guilherme Miotto, Simon Schrodi, Andre Biedenkapp, Thomas Elsken, Difan Deng, Marius Lindauer, Frank Hutter


  Access Paper or Ask Questions

Squirrel: A Switching Hyperparameter Optimizer


Dec 16, 2020
Noor Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, Andre' Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter


  Access Paper or Ask Questions

Neural Model-based Optimization with Right-Censored Observations


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


  Access Paper or Ask Questions

Auto-Sklearn 2.0: The Next Generation


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


  Access Paper or Ask Questions

Prior-guided Bayesian Optimization


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


  Access Paper or Ask Questions

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


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Best Practices for Scientific Research on Neural Architecture Search


Sep 05, 2019
Marius Lindauer, Frank Hutter


  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Towards White-box Benchmarks for Algorithm Control


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

* 8 pages, 9 figures 

  Access Paper or Ask Questions

Pitfalls and Best Practices in Algorithm Configuration


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


  Access Paper or Ask Questions

The Algorithm Selection Competitions 2015 and 2017


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Warmstarting of Model-based Algorithm Configuration


Nov 28, 2017
Marius Lindauer, Frank Hutter

* Preprint of AAAI'18 paper 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

The Configurable SAT Solver Challenge (CSSC)


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions