Michel Lang

According to our database, Michel Lang authored at least 33 papers between 2011 and 2024.

Collaborative distances:

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

2024

TREE: Tree Regularization for Efficient Execution.

Lena Schmid, Daniel Biebert, Christian Hakert, Kuan-Hsun Chen, Michel Lang, Markus Pauly, Jian-Jia Chen

CoRR, 2024

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

Fairness Audits and Debiasing Using \pkg{mlr3fairness}.

Florian Pfisterer, Siyi Wei, Sebastian J. Vollmer, Michel Lang, Bernd Bischl

R J., March, 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

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

Survival Prediction and Model Selection.

Jörg Rahnenführer, Michel Lang, Jakob Richter

Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022

2021

stabm: Stability Measures for Feature Selection.

Andrea Bommert, Michel Lang

J. Open Source Softw., 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

Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R.

Patrick Schratz, Marc Becker, Michel Lang, Alexander Brenning

CoRR, 2021

mlr3proba: an R package for machine learning in survival analysis.

Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang

Bioinform., 2021

OpenML Benchmarking Suites.

Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Employing an Adjusted Stability Measure for Multi-criteria Model Fitting on Data Sets with Similar Features.

Andrea Bommert, Jörg Rahnenführer, Michel Lang

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020

Benchmark for filter methods for feature selection in high-dimensional classification data.

Andrea Bommert, Xudong Sun, Bernd Bischl, Jörg Rahnenführer, Michel Lang

Comput. Stat. Data Anal., 2020

mlr3proba: Machine Learning Survival Analysis in R.

Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang

CoRR, 2020

Feature Selection Methods for Cost-Constrained Classification in Random Forests.

Rudolf Jagdhuber, Michel Lang, Jörg Rahnenführer

CoRR, 2020

Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms.

Rudolf Jagdhuber, Michel Lang, Arnulf Stenzl, Jochen Neuhaus, Jörg Rahnenführer

BMC Bioinform., 2020

Model-based optimization with concept drifts.

Jakob Richter, Junjie Shi, Jian-Jia Chen, Jörg Rahnenführer, Michel Lang

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

Dataset, December, 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

OpenML: An R package to connect to the machine learning platform OpenML.

Giuseppe Casalicchio, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl

Comput. Stat., 2019

High Dimensional Restrictive Federated Model Selection with Multi-objective Bayesian Optimization over Shifted Distributions.

Xudong Sun, Andrea Bommert, Florian Pfisterer, Jörg Rahnenführer, Michel Lang, Bernd Bischl

Proceedings of the Intelligent Systems and Applications, 2019

2018

rsimsum: Summarise results from Monte Carlo simulation studies.

Alessandro Gasparini, Michel Lang

J. Open Source Softw., 2018

2017

checkmate: Fast Argument Checks for Defensive R Programming.

Michel Lang

R J., 2017

batchtools: Tools for R to work on batch systems.

Michel Lang, Bernd Bischl, Dirk Surmann

J. Open Source Softw., 2017

OpenML Benchmarking Suites and the OpenML100.

Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Frank Hutter, Michel Lang, Rafael Gomes Mantovani, Jan N. van Rijn, Joaquin Vanschoren

CoRR, 2017

OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML.

Giuseppe Casalicchio, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl

CoRR, 2017

A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data.

Andrea Bommert, Jörg Rahnenführer, Michel Lang

Comput. Math. Methods Medicine, 2017

RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization.

Helena Kotthaus, Jakob Richter, Andreas Lang, Janek Thomas, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang

Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017

2016

mlr: Machine Learning in R.

Bernd Bischl, Michel Lang, Lars Kotthoff, Julia Schiffner, Jakob Richter, Erich Studerus, Giuseppe Casalicchio, Zachary M. Jones

J. Mach. Learn. Res., 2016

mlr Tutorial.

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

CoRR, 2016

Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies.

Jakob Richter, Helena Kotthaus, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang

Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016

2011

Survival models with preclustered gene groups as covariates.

Kai Kammers, Michel Lang, Jan G. Hengstler, Marcus Schmidt, Jörg Rahnenführer

BMC Bioinform., 2011