Lennart Schneider

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Neural Architecture

Optimization Problems

Ensemble Selection

Top Venues

IEEE Trans. Evol. Comput.

Publications

Markus Bauer, Lennart Schneider, Marit Bernhardt, Christoph Augenstein, Glen Kristiansen, Bogdan Franczyk
An Open-Source Approach for Digital Prostate Cancer Histopathology: Bringing AI into Practice. ICEIS (1) (2024)
Thomas Nagler, Lennart Schneider, Bernd Bischl, Matthias Feurer
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization. CoRR (2024)
Lennart Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML. CoRR (2023)
Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, Olaf Mersmann
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. FOGA (2023)
Lennart Oswald Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML. AutoML (2023)
Lennart Schneider, Bernd Bischl, Janek Thomas
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models. CoRR (2023)
Lennart Schneider, Bernd Bischl, Janek Thomas
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models. GECCO (2023)
Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix
Evaluating machine learning models in non-standard settings: An overview and new findings. CoRR (2023)
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
Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. ACM Trans. Evol. Learn. Optim. 3 (4) (2023)
Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas
Tackling Neural Architecture Search With Quality Diversity Optimization. AutoML (2022)
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. IEEE Trans. Evol. Comput. 26 (6) (2022)
Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl
YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization. AutoML (2022)
Lennart Schneider, Florian Pfisterer, Janek Thomas, Bernd Bischl
A collection of quality diversity optimization problems derived from hyperparameter optimization of machine learning models. GECCO Companion (2022)
Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas
Tackling Neural Architecture Search With Quality Diversity Optimization. CoRR (2022)
Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke
HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. PPSN (1) (2022)
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
Multi-Objective Hyperparameter Optimization - An Overview. CoRR (2022)
Lennart Schneider, Florian Pfisterer, Janek Thomas, Bernd Bischl
A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning Models. CoRR (2022)
Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. CoRR (2022)
Martin Binder, Florian Pfisterer, Michel Lang, Lennart Schneider, Lars Kotthoff, Bernd Bischl
mlr3pipelines - Flexible Machine Learning Pipelines in R. J. Mach. Learn. Res. 22 (2021)
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 (2021)
Florian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl
YAHPO Gym - Design Criteria and a new Multifidelity Benchmark for Hyperparameter Optimization. CoRR (2021)
Lennart Schneider, Florian Pfisterer, Martin Binder, Bernd Bischl
Mutation is all you need. CoRR (2021)