Suivre
Lennart Schneider
Lennart Schneider
PhD Student, LMU Munich
Adresse e-mail validée de stat.uni-muenchen.de - Page d'accueil
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Année
nonnest2: Tests of non-nested models
E Merkle, D You, L Schneider, S Bae
R Package Version 0.5-5, 2020
272020
Model Selection of Nested and Non-Nested Item Response Models using Vuong Tests
L Schneider, RP Chalmers, R Debelak, EC Merkle
Multivariate Behavioral Research, 1-21, 2019
172019
mlr3pipelines - Flexible Machine Learning Pipelines in R.
M Binder, F Pfisterer, M Lang, L Schneider, L Kotthoff, B Bischl
J. Mach. Learn. Res. 22, 184:1-184:7, 2021
122021
Pyndl: Naive discriminative learning in python
K Sering, M Weitz, DE Künstle, L Schneider
URL: https://doi. org/10 5281, 2018
122018
YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization
F Pfisterer, L Schneider, J Moosbauer, M Binder, B Bischl
First Conference on Automated Machine Learning (Main Track), 2022
8*2022
A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses
H Seibold, S Czerny, S Decke, R Dieterle, T Eder, S Fohr, N Hahn, ...
Plos one 16 (6), e0251194, 2021
82021
mirt: Multidimensional item response theory (1.32. 1)[computer software]
P Chalmers, J Pritikin, A Robitzsch, M Zoltak, K Kim, CF Falk, A Meade, ...
52020
Using the raschtree function for detecting differential item functioning in the Rasch model
C Strobl, L Schneider, J Kopf, A Zeileis
22021
psychotools: Infrastructure for psychometric modeling [Computer software manual]
A Zeileis, C Strobl, F Wickelmaier, B Komboz, J Kopf, L Schneider, ...
22020
Multi-Objective Hyperparameter Optimization - An Overview
F Karl, T Pielok, J Moosbauer, F Pfisterer, S Coors, M Binder, L Schneider, ...
arXiv preprint arXiv:2206.07438, 2022
12022
An R toolbox for score-based measurement invariance tests in IRT models
L Schneider, C Strobl, A Zeileis, R Debelak
Behavior Research Methods, 1-13, 2021
12021
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers
J Moosbauer, M Binder, L Schneider, F Pfisterer, M Becker, M Lang, ...
arXiv preprint arXiv:2111.14756, 2021
12021
Correction: A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses
H Seibold, S Czerny, S Decke, R Dieterle, T Eder, S Fohr, N Hahn, ...
Plos one 17 (5), e0269047, 2022
2022
A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning Models
L Schneider, F Pfisterer, J Thomas, B Bischl
arXiv preprint arXiv:2204.14061, 2022
2022
Tackling Neural Architecture Search With Quality Diversity Optimization
L Schneider, F Pfisterer, P Kent, J Branke, B Bischl, J Thomas
First Conference on Automated Machine Learning (Main Track), 2022
2022
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
L Schneider, L Schäpermeier, RP Prager, B Bischl, H Trautmann, ...
International Conference on Parallel Problem Solving from Nature, 575-589, 2022
2022
Mutation is all you need
L Schneider, F Pfisterer, M Binder, B Bischl
8th ICML Workshop on Automated Machine Learning, 2021
2021
Descriptive and Graphical Analysis of the Variable and Cutpoint Selection inside Random Forests
L Schneider, A Zeileis, C Strobl
R package vignette, 2021
2021
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