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Michel Lang
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2020 – today
- 2024
- [i13]Lena Schmid, Daniel Biebert, Christian Hakert, Kuan-Hsun Chen, Michel Lang, Markus Pauly, Jian-Jia Chen:
TREE: Tree Regularization for Efficient Execution. CoRR abs/2406.12531 (2024) - [i12]Cabrel Teguemne Fokam, Carsten Jentsch, Michel Lang, Markus Pauly:
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction. CoRR abs/2410.00942 (2024) - 2023
- [j17]Florian Pfisterer, Siyi Wei, Sebastian J. Vollmer, Michel Lang, Bernd Bischl:
Fairness Audits and Debiasing Using \pkg{mlr3fairness}. R J. 15(1): 234-253 (2023) - [j16]Florian Karl
, Tobias Pielok
Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. ACM Trans. Evol. Learn. Optim. 3(4): 16:1-16:50 (2023) - [j15]Bernd Bischl
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges. WIREs Data. Mining. Knowl. Discov. 13(2) (2023) - 2022
- [j14]Julia Moosbauer
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. IEEE Trans. Evol. Comput. 26(6): 1336-1350 (2022) - [p1]Jörg Rahnenführer, Michel Lang
Survival Prediction and Model Selection. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 71-84 - [i11]Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter
Multi-Objective Hyperparameter Optimization - An Overview. CoRR abs/2206.07438 (2022) - 2021
- [j13]Raphael Sonabend
mlr3proba: an R package for machine learning in survival analysis. Bioinform. 37(17): 2789-2791 (2021) - [j12]Martin Binder, Florian Pfisterer, Michel Lang
mlr3pipelines - Flexible Machine Learning Pipelines in R. J. Mach. Learn. Res. 22: 184:1-184:7 (2021) - [j11]Andrea Bommert
stabm: Stability Measures for Feature Selection. J. Open Source Softw. 6(59): 3010 (2021) - [c6]Andrea Bommert
Employing an Adjusted Stability Measure for Multi-criteria Model Fitting on Data Sets with Similar Features. LOD 2021: 81-92 - [c5]Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang
OpenML Benchmarking Suites. NeurIPS Datasets and Benchmarks 2021 - [i10]Andrea Bommert, Jörg Rahnenführer, Michel Lang:
Employing an Adjusted Stability Measure for Multi-Criteria Model Fitting on Data Sets with Similar Features. CoRR abs/2106.08105 (2021) - [i9]Bernd Bischl, Martin Binder, Michel Lang
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges. CoRR abs/2107.05847 (2021) - [i8]Patrick Schratz, Marc Becker, Michel Lang, Alexander Brenning:
Mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R. CoRR abs/2110.12674 (2021) - [i7]Julia Moosbauer, Martin Binder, Lennart Schneider, Florian Pfisterer, Marc Becker, Michel Lang, Lars Kotthoff, Bernd Bischl:
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. CoRR abs/2111.14756 (2021) - 2020
- [j10]Rudolf Jagdhuber
Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms. BMC Bioinform. 21(1): 26 (2020) - [j9]Andrea Bommert
Benchmark for filter methods for feature selection in high-dimensional classification data. Comput. Stat. Data Anal. 143 (2020) - [c4]Jakob Richter, Junjie Shi, Jian-Jia Chen
Model-based optimization with concept drifts. GECCO 2020: 877-885 - [i6]Rudolf Jagdhuber, Michel Lang
Feature Selection Methods for Cost-Constrained Classification in Random Forests. CoRR abs/2008.06298 (2020) - [i5]Raphael Sonabend, Franz J. Király, Andreas Bender
mlr3proba: Machine Learning Survival Analysis in R. CoRR abs/2008.08080 (2020)
2010 – 2019
- 2019
- [j8]Giuseppe Casalicchio
OpenML: An R package to connect to the machine learning platform OpenML. Comput. Stat. 34(3): 977-991 (2019) - [j7]Michel Lang
mlr3: A modern object-oriented machine learning framework in R. J. Open Source Softw. 4(44): 1903 (2019) - [c3]Xudong Sun, Andrea Bommert
High Dimensional Restrictive Federated Model Selection with Multi-objective Bayesian Optimization over Shifted Distributions. IntelliSys (1) 2019: 629-647 - [d1]Michel Lang
mlr3: A modern object-oriented machine learning framework in R. Zenodo, 2019 - [i4]Xudong Sun, Andrea Bommert, Florian Pfisterer, Jörg Rahnenführer, Michel Lang, Bernd Bischl:
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions. CoRR abs/1902.08999 (2019) - 2018
- [j6]Alessandro Gasparini
rsimsum: Summarise results from Monte Carlo simulation studies. J. Open Source Softw. 3(26): 739 (2018) - 2017
- [j5]Andrea Bommert
A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data. Comput. Math. Methods Medicine 2017: 7907163:1-7907163:18 (2017) - [j4]Michel Lang
batchtools: Tools for R to work on batch systems. J. Open Source Softw. 2(10): 135 (2017) - [j3]Michel Lang:
checkmate: Fast Argument Checks for Defensive R Programming. R J. 9(1): 437 (2017) - [c2]Helena Kotthaus, Jakob Richter
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization. LION 2017: 180-195 - [i3]Giuseppe Casalicchio, Jakob Bossek, Michel Lang
OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML. CoRR abs/1701.01293 (2017) - [i2]Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Frank Hutter, Michel Lang
OpenML Benchmarking Suites and the OpenML100. CoRR abs/1708.03731 (2017) - 2016
- [j2]Bernd Bischl, Michel Lang, Lars Kotthoff, Julia Schiffner, Jakob Richter, Erich Studerus, Giuseppe Casalicchio, Zachary M. Jones:
mlr: Machine Learning in R. J. Mach. Learn. Res. 17: 170:1-170:5 (2016) - [c1]Jakob Richter
Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies. LION 2016: 267-273 - [i1]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:
mlr Tutorial. CoRR abs/1609.06146 (2016) - 2011
- [j1]Kai Kammers, Michel Lang
Survival models with preclustered gene groups as covariates. BMC Bioinform. 12: 478 (2011)
Coauthor Index
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