Martin Binder

23 papers A 1C 2Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
CASHomon Sets: Efficient Rashomon Sets Across Multiple Model Classes and their Hyperparameters.
CoRR
Fiona Katharina Ewald, Martin Binder, Matthias Feurer, Bernd Bischl, Giuseppe Casalicchio
2026 J jnl
mlr3mbo: Bayesian Optimization in R.
CoRR
Marc Becker, Lennart Schneider, Martin Binder, Lars Kotthoff, Bernd Bischl
2025 J jnl
counterfactuals : An
J. Stat. Softw.
Susanne Dandl, Andreas Hofheinz, Martin Binder, Bernd Bischl, Giuseppe Casalicchio
2025 J jnl
mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration.
J. Open Source Softw.
Sebastian Fischer, John Zobolas, Raphael Sonabend, Marc Becker, Michel Lang, Martin Binder, Lennart Schneider, Lukas Burk, Patrick Schratz, Byron C. Jaeger, Stephen A. Lauer, Lorenz A. Kapsner, Maximilian Mücke, Zezhi Wang, Damir Pulatov, Keenan Ganz, Henri Funk, Liana Harutyunyan, Pierre Camilleri, Philipp Kopper, Andreas Bender, Baisu Zhou, Niko German, Lona Koers, Anna Nazarova, Bernd Bischl
2024 — conf
From Hostile to Hospitable: Using Interactive WebAR Technology to Address Hostile Design in Public Spaces and to Visualise Utopian Alternatives in the Context of AR Activism.
KUI
Leonid Barsht, Martin Binder, Dagmar Schürrer, Maja Stark
2023 J jnl
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges.
WIREs Data. Mining. Knowl. Discov.
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
2023 J jnl
Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview.
ACM Trans. Evol. Learn. Optim.
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
2023 C conf
Neural Architecture Search for Genomic Sequence Data.
CIBCB
Amadeu Scheppach, Hüseyin Anil Gündüz, Emilio Dorigatti, Philipp C. Münch, Alice C. McHardy, Bernd Bischl, Mina Rezaei, Martin Binder
2023 C conf
Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences.
ICMLA
Hüseyin Anil Gündüz, Sheetal Giri, Martin Binder, Bernd Bischl, Mina Rezaei
2023 J jnl
counterfactuals: An R Package for Counterfactual Explanation Methods.
CoRR
Susanne Dandl, Andreas Hofheinz, Martin Binder, Bernd Bischl, Giuseppe Casalicchio
2022 J jnl
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers.
IEEE Trans. Evol. Comput.
Julia Moosbauer, Martin Binder, Lennart Schneider, Florian Pfisterer, Marc Becker, Michel Lang, Lars Kotthoff, Bernd Bischl
2022 J jnl
Multi-Objective Hyperparameter Optimization - An Overview.
CoRR
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
2022 — conf
YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization.
AutoML
Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl
2021 J jnl
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers.
CoRR
Julia Moosbauer, Martin Binder, Lennart Schneider, Florian Pfisterer, Marc Becker, Michel Lang, Lars Kotthoff, Bernd Bischl
2021 J jnl
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges.
CoRR
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
2021 J jnl
Mutation is all you need.
CoRR
Lennart Schneider, Florian Pfisterer, Martin Binder, Bernd Bischl
2021 J jnl
YAHPO Gym - Design Criteria and a new Multifidelity Benchmark for Hyperparameter Optimization.
CoRR
Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl
2021 J jnl
mlr3pipelines - Flexible Machine Learning Pipelines in R.
J. Mach. Learn. Res.
Martin Binder, Florian Pfisterer, Michel Lang, Lennart Schneider, Lars Kotthoff, Bernd Bischl
2020 — conf
Multi-Objective Counterfactual Explanations.
PPSN (1)
Susanne Dandl, Christoph Molnar, Martin Binder, Bernd Bischl
2020 J jnl
Multi-Objective Counterfactual Explanations.
CoRR
Susanne Dandl, Christoph Molnar, Martin Binder, Bernd Bischl
2020 A conf
Multi-objective hyperparameter tuning and feature selection using filter ensembles.
GECCO
Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl
2019 J jnl
Model-Agnostic Approaches to Multi-Objective Simultaneous Hyperparameter Tuning and Feature Selection.
CoRR
Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl
2019 J jnl
mlr3: A modern object-oriented machine learning framework in R.
J. Open Source Softw.
Michel Lang, Martin Binder, Jakob Richter, Patrick Schratz, Florian Pfisterer, Stefan Coors, Quay Au, Giuseppe Casalicchio, Lars Kotthoff, Bernd Bischl