Martin Binder

According to our database, Martin Binder authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview.

Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter, Michel Lang, Eduardo C. Garrido-Merchán, Jürgen Branke, Bernd Bischl

ACM Trans. Evol. Learn. Optim., December, 2023

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges.

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

WIREs Data. Mining. Knowl. Discov., 2023

counterfactuals: An R Package for Counterfactual Explanation Methods.

Susanne Dandl, Andreas Hofheinz, Martin Binder, Bernd Bischl, Giuseppe Casalicchio

CoRR, 2023

Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences.

Hüseyin Anil Gündüz, Sheetal Giri, Martin Binder, Bernd Bischl, Mina Rezaei

Proceedings of the International Conference on Machine Learning and Applications, 2023

Neural Architecture Search for Genomic Sequence Data.

Amadeu Scheppach, Hüseyin Anil Gündüz, Emilio Dorigatti, Philipp C. Münch, Alice C. McHardy, Bernd Bischl, Mina Rezaei, Martin Binder

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022

Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers.

Julia Moosbauer, Martin Binder, Lennart Schneider, Florian Pfisterer, Marc Becker, Michel Lang, Lars Kotthoff, Bernd Bischl

IEEE Trans. Evol. Comput., 2022

Multi-Objective Hyperparameter Optimization - An Overview.

Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter, Michel Lang, Eduardo C. Garrido-Merchán, Jürgen Branke, Bernd Bischl

CoRR, 2022

YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization.

Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

mlr3pipelines - Flexible Machine Learning Pipelines in R.

Martin Binder, Florian Pfisterer, Michel Lang, Lennart Schneider, Lars Kotthoff, Bernd Bischl

J. Mach. Learn. Res., 2021

YAHPO Gym - Design Criteria and a new Multifidelity Benchmark for Hyperparameter Optimization.

Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl

CoRR, 2021

Mutation is all you need.

Lennart Schneider, Florian Pfisterer, Martin Binder, Bernd Bischl

CoRR, 2021

2020

Multi-Objective Counterfactual Explanations.

Susanne Dandl, Christoph Molnar, Martin Binder, Bernd Bischl

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Multi-objective hyperparameter tuning and feature selection using filter ensembles.

Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

mlr3: A modern object-oriented machine learning framework in R.

Michel Lang, Martin Binder, Jakob Richter, Patrick Schratz, Florian Pfisterer, Stefan Coors, Quay Au, Giuseppe Casalicchio, Lars Kotthoff, Bernd Bischl

J. Open Source Softw., 2019

Model-Agnostic Approaches to Multi-Objective Simultaneous Hyperparameter Tuning and Feature Selection.

Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl

CoRR, 2019