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Dokumententyp
| Veröffentlichungsdatum
Anzahl der Publikationen: 10
Hochschulschrift
Schneider, Lennart
(20. Mai 2021):
Model Based Quality Diversity Optimization.
Masterarbeit,
Ludwig-Maximilians-Universität München
[PDF, 813kB]
[PDF, 813kB]
Zeitschriftenartikel
Seibold, Heidi; Czerny, Severin; Decke, Siona; Dieterle, Roman; Eder, Thomas; Fohr, Steffen; Hahn, Nico; Hartmann, Rabea; Heindl, Christoph; Kopper, Philipp; Lepke, Dario; Loidl, Verena; Mandl, Maximilian; Musiol, Sarah; Peter, Jessica; Piehler, Alexander; Rojas, Elio; Schmid, Stefanie; Schmidt, Hannah; Schmoll, Melissa; Schneider, Lennart; To, Xiao-Yin; Tran, Viet; Völker, Antje; Wagner, Moritz; Wagner, Joshua; Waize, Maria; Wecker, Hannah; Yang, Rui; Zellner, Simone und Nalenz, Malte
(2022):
Correction: A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses.
In: PLOS ONE 16(6), e0269047 [PDF, 166kB]
In: PLOS ONE 16(6), e0269047 [PDF, 166kB]
Moosbauer, Julia; Binder, Martin; Schneider, Lennart; Pfisterer, Florian; Becker, Marc; Lang, Michel; Kotthoff, Lars und Bischl, Bernd
(2022):
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers.
In: IEEE Transactions on Evolutionary Computation (T-Evc), Bd. 26, Nr. 6: S. 1336-1350
Schneider, Lennart; Strobl, Carolin; Zeileis, Achim und Debelak, Rudolf
(2022):
An R toolbox for score-based measurement invariance tests in IRT models.
In: Behavior Research Methods, Bd. 54, Nr. 5: S. 2101-2113
Seibold, Heidi 
ORCID: https://orcid.org/0000-0002-8960-9642; Czerny, Severin; Decke, Siona; Dieterle, Roman; Eder, Thomas; Fohr, Steffen; Hahn, Nico; Hartmann, Rabea; Heindl, Christoph; Kopper, Philipp; Lepke, Dario; Loidl, Verena; Mandl, Maximilian; Musiol, Sarah ORCID: https://orcid.org/0000-0003-0472-6848; Peter, Jessica; Piehler, Alexander; Rojas, Elio; Schmid, Stefanie; Schmidt, Hannah; Schmoll, Melissa; Schneider, Lennart ORCID: https://orcid.org/0000-0003-4152-5308; To, Xiao-Yin; Tran, Viet; Völker, Antje; Wagner, Moritz; Wagner, Joshua; Waize, Maria; Wecker, Hannah; Yang, Rui; Zellner, Simone und Nalenz, Malte
(2021):
A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses.
In: PLOS ONE 17(5), e0251194 [PDF, 614kB]
ORCID: https://orcid.org/0000-0002-8960-9642; Czerny, Severin; Decke, Siona; Dieterle, Roman; Eder, Thomas; Fohr, Steffen; Hahn, Nico; Hartmann, Rabea; Heindl, Christoph; Kopper, Philipp; Lepke, Dario; Loidl, Verena; Mandl, Maximilian; Musiol, Sarah ORCID: https://orcid.org/0000-0003-0472-6848; Peter, Jessica; Piehler, Alexander; Rojas, Elio; Schmid, Stefanie; Schmidt, Hannah; Schmoll, Melissa; Schneider, Lennart ORCID: https://orcid.org/0000-0003-4152-5308; To, Xiao-Yin; Tran, Viet; Völker, Antje; Wagner, Moritz; Wagner, Joshua; Waize, Maria; Wecker, Hannah; Yang, Rui; Zellner, Simone und Nalenz, Malte
(2021):
A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses.
In: PLOS ONE 17(5), e0251194 [PDF, 614kB]
Binder, Martin; Pfisterer, Florian; Lang, Michel; Schneider, Lennart; Kotthoff, Lars und Bischl, Bernd
(2021):
mlr3pipelines-Flexible Machine Learning Pipelines in R.
In: Journal of Machine Learning Research, Bd. 22
Konferenzbeitrag
Schneider, Lennart ORCID: https://orcid.org/0000-0003-4152-5308; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Thomas, Janek ORCID: https://orcid.org/0000-0003-4511-6245
(2023):
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models.
GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon Portugal, July 15 - 19, 2023.
Silva, Sara und Paquete, Luís (Hrsg.):
In: GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference,
New York, NY, United States: Association for Computing Machinery. S. 538-547
[PDF, 781kB]
ORCID: https://orcid.org/0000-0003-4152-5308; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980 und Thomas, Janek ORCID: https://orcid.org/0000-0003-4511-6245
(2023):
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models.
GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon Portugal, July 15 - 19, 2023.
Silva, Sara und Paquete, Luís (Hrsg.):
In: GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference,
New York, NY, United States: Association for Computing Machinery. S. 538-547
[PDF, 781kB]
Rodemann, Julian ORCID: https://orcid.org/0000-0001-6112-4136; Fischer, Sebastian; Schneider, Lennart; Nalenz, Malte und Augustin, Thomas
(13. Dezember 2022):
Not All Data Are Created Equal: Lessons From Sampling Theory For Adaptive Machine Learning.
IMS International Conference on Statistics and Data Science (ICSDS), Florenz, December 13, 2022 - December 16, 2022.
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-6112-4136; Fischer, Sebastian; Schneider, Lennart; Nalenz, Malte und Augustin, Thomas
(13. Dezember 2022):
Not All Data Are Created Equal: Lessons From Sampling Theory For Adaptive Machine Learning.
IMS International Conference on Statistics and Data Science (ICSDS), Florenz, December 13, 2022 - December 16, 2022.
[PDF, 1MB]
Schneider, Lennart; Pfisterer, Florian; Thomas, Janek und Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980
(2022):
A collection of quality diversity optimization problems derived from hyperparameter optimization of machine learning models.
GECCO '22: Genetic and Evolutionary Computation Conference, Boston Massachusetts (hybrid), July 9-13, 2022.
In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Association of Computing Machinery: New York. S. 2136-2142
ORCID: https://orcid.org/0000-0001-6002-6980
(2022):
A collection of quality diversity optimization problems derived from hyperparameter optimization of machine learning models.
GECCO '22: Genetic and Evolutionary Computation Conference, Boston Massachusetts (hybrid), July 9-13, 2022.
In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Association of Computing Machinery: New York. S. 2136-2142
Schneider, Lennart ORCID: https://orcid.org/0000-0003-4152-5308; Schäpermeier, Lennart ORCID: https://orcid.org/0000-0003-3929-7465; Prager, Raphael Patrick ORCID: https://orcid.org/0000-0003-1237-4248; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Trautmann, Heike ORCID: https://orcid.org/0000-0002-9788-8282 und Kerschke, Pascal ORCID: https://orcid.org/0000-0003-2862-1418
(2022):
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.
PPSN XVII. 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022.
In: Parallel Problem Solving from Nature – PPSN XVII. 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022, Proceedings, Part I, Lecture Notes in Computer Science
Bd. 13398
Cham, Switzerland: Springer. S. 575-589
ORCID: https://orcid.org/0000-0003-4152-5308; Schäpermeier, Lennart ORCID: https://orcid.org/0000-0003-3929-7465; Prager, Raphael Patrick ORCID: https://orcid.org/0000-0003-1237-4248; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Trautmann, Heike ORCID: https://orcid.org/0000-0002-9788-8282 und Kerschke, Pascal ORCID: https://orcid.org/0000-0003-2862-1418
(2022):
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.
PPSN XVII. 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022.
In: Parallel Problem Solving from Nature – PPSN XVII. 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022, Proceedings, Part I, Lecture Notes in Computer Science
Bd. 13398
Cham, Switzerland: Springer. S. 575-589