Lennart Schneider

According to our database, Lennart Schneider authored at least 15 papers between 2021 and 2023.

Collaborative distances:

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

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

Evaluating machine learning models in non-standard settings: An overview and new findings.

Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix

CoRR, 2023

Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models.

Lennart Schneider, Bernd Bischl, Janek Thomas

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.

Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, Olaf Mersmann

Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML.

Lennart Oswald Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos

Proceedings of the International Conference on Automated Machine Learning, 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

HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.

Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke

CoRR, 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

HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.

Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

A collection of quality diversity optimization problems derived from hyperparameter optimization of machine learning models.

Lennart Schneider, Florian Pfisterer, Janek Thomas, Bernd Bischl

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Tackling Neural Architecture Search With Quality Diversity Optimization.

Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas

Proceedings of the International Conference on Automated Machine Learning, 2022

YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization.

Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl

Proceedings of the International Conference on Automated Machine Learning, 2022

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

YAHPO Gym - Design Criteria and a new Multifidelity Benchmark for Hyperparameter Optimization.

Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl

CoRR, 2021

Mutation is all you need.

Lennart Schneider, Florian Pfisterer, Martin Binder, Bernd Bischl

CoRR, 2021