Michel Lang

39 papers A 1Journal 32Unranked 5
YearRankTypeTitle / Venue / Authors
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 J jnl
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction.
CoRR
Cabrel Teguemne Fokam, Carsten Jentsch, Michel Lang, Markus Pauly
2024 J jnl
TREE: Tree Regularization for Efficient Execution.
CoRR
Lena Schmid, Daniel Biebert, Christian Hakert, Kuan-Hsun Chen, Michel Lang, Markus Pauly, Jian-Jia Chen
2024 J jnl
mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in
J. Stat. Softw.
Patrick Schratz, Marc Becker, Michel Lang, Alexander Brenning
2023 J jnl
Fairness Audits and Debiasing Using \pkg{mlr3fairness}.
R J.
Florian Pfisterer, Siyi Wei, Sebastian J. Vollmer, Michel Lang, Bernd Bischl
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
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 — ch.
Survival Prediction and Model Selection.
Mach. Learn. under Resour. Constraints Vol. 3 (3)
Jörg Rahnenführer, Michel Lang, Jakob Richter
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
Employing an Adjusted Stability Measure for Multi-Criteria Model Fitting on Data Sets with Similar Features.
CoRR
Andrea Bommert, Jörg Rahnenführer, Michel Lang
2021 — conf
Employing an Adjusted Stability Measure for Multi-criteria Model Fitting on Data Sets with Similar Features.
LOD
Andrea Bommert, Jörg Rahnenführer, Michel Lang
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
Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R.
CoRR
Patrick Schratz, Marc Becker, Michel Lang, Alexander Brenning
2021 — conf
OpenML Benchmarking Suites.
NeurIPS Datasets and Benchmarks
Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren
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
2021 J jnl
mlr3proba: an R package for machine learning in survival analysis.
Bioinform.
Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang
2021 J jnl
stabm: Stability Measures for Feature Selection.
J. Open Source Softw.
Andrea Bommert, Michel Lang
2020 J jnl
Benchmark for filter methods for feature selection in high-dimensional classification data.
Comput. Stat. Data Anal.
Andrea Bommert, Xudong Sun, Bernd Bischl, Jörg Rahnenführer, Michel Lang
2020 J jnl
Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms.
BMC Bioinform.
Rudolf Jagdhuber, Michel Lang, Arnulf Stenzl, Jochen Neuhaus, Jörg Rahnenführer
2020 J jnl
Feature Selection Methods for Cost-Constrained Classification in Random Forests.
CoRR
Rudolf Jagdhuber, Michel Lang, Jörg Rahnenführer
2020 A conf
Model-based optimization with concept drifts.
GECCO
Jakob Richter, Junjie Shi, Jian-Jia Chen, Jörg Rahnenführer, Michel Lang
2020 J jnl
mlr3proba: Machine Learning Survival Analysis in R.
CoRR
Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang
2019 — conf
High Dimensional Restrictive Federated Model Selection with Multi-objective Bayesian Optimization over Shifted Distributions.
IntelliSys (1)
Xudong Sun, Andrea Bommert, Florian Pfisterer, Jörg Rahnenführer, Michel Lang, Bernd Bischl
2019 J jnl
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions.
CoRR
Xudong Sun, Andrea Bommert, Florian Pfisterer, Jörg Rahnenführer, Michel Lang, Bernd Bischl
2019 J jnl
OpenML: An R package to connect to the machine learning platform OpenML.
Comput. Stat.
Giuseppe Casalicchio, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, 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
2018 J jnl
rsimsum: Summarise results from Monte Carlo simulation studies.
J. Open Source Softw.
Alessandro Gasparini, Michel Lang
2017 J jnl
A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data.
Comput. Math. Methods Medicine
Andrea Bommert, Jörg Rahnenführer, Michel Lang
2017 J jnl
OpenML Benchmarking Suites and the OpenML100.
CoRR
Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren
2017 J jnl
OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML.
CoRR
Giuseppe Casalicchio, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl
2017 — conf
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization.
LION
Helena Kotthaus, Jakob Richter, Andreas Lang, Janek Thomas, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang
2017 J jnl
batchtools: Tools for R to work on batch systems.
J. Open Source Softw.
Michel Lang, Bernd Bischl, Dirk Surmann
2017 J jnl
checkmate: Fast Argument Checks for Defensive R Programming.
R J.
Michel Lang
2016 — conf
Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies.
LION
Jakob Richter, Helena Kotthaus, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang
2016 J jnl
mlr Tutorial.
CoRR
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
2016 J jnl
mlr: Machine Learning in R.
J. Mach. Learn. Res.
Bernd Bischl, Michel Lang, Lars Kotthoff, Julia Schiffner, Jakob Richter, Erich Studerus, Giuseppe Casalicchio, Zachary M. Jones
2011 J jnl
Survival models with preclustered gene groups as covariates.
BMC Bioinform.
Kai Kammers, Michel Lang, Jan G. Hengstler, Marcus Schmidt, Jörg Rahnenführer