← All authors Bernd Bischl Munich Center for Machine Learning (per OpenAlex) · ORCID · OpenAlex
42 papers in scope · 41 published · 2 on the econ.EM arXiv · 2,293 citations · h-index 17 (over the papers listed here)
Related authors The 5 authors closest to this one in our weighted citation graph, most related first.
Christian A. Scholbeck Christian Heumann Giuseppe Casalicchio Christoph Molnar Holger Löwe Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (3 of 42)
A large-scale neutral comparison study of survival models on low-dimensional data
published 2026 · Bioinformatics
with Lukas Burk, John Zobolas, Andreas Bender, Marvin N. Wright, Raphael Sonabend
Smoothing the Edges: Smooth Optimization for Sparse Regularization Using Hadamard Overparametrization
published 2026 · Machine Learning · 2 citations
with Chris Kolb, Christian L. Müller, David Rügamer
mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration
published 2025 · The Journal of Open Source Software · 2 citations
with Sebastian Fischer, John Zobolas, Raphael Sonabend, Marc Becker, Michel Lang, Martin Binder, Lennart Schneider, Lukas Burk, Patrick Schratz, Byron C. Jaeger, Stephen A. Lauer, Lorenz A. Kapsner, …
published 2025 · The R Journal · first circulated 2023
Distributed non-disclosive validation of predictive models by a modified ROC-GLM
published 2024 · BMC Medical Research Methodology · 1 citations
with Daniel Schalk, Raphael Rehms, Verena Hoffmann, Ulrich Mansmann
published 2024 · Data Mining and Knowledge Discovery · 8 citations · first circulated 2022
Mixture of experts distributional regression: implementation using robust estimation with adaptive first-order methods
published 2023 · AStA Advances in Statistical Analysis · 4 citations · first circulated 2022
with David Rügamer, Florian Pfisterer, Bettina Grün
Privacy-preserving and lossless distributed estimation of high-dimensional generalized additive mixed models
published 2023 · Statistics and Computing · 1 citations · first circulated 2022
with Schalk Daniel, R.M.H. David, Daniel Schalk, David Rügamer
Fairness Audits and Debiasing Using \pkg{mlr3fairness}
published 2023 · The R Journal
with Florian Pfisterer, Siyi Wei, Sebastian J. Vollmer, Michel Lang
Dependent state space Student‐t processes for imputation and data augmentation in plasma diagnostics
published 2023 · Contributions to Plasma Physics · 2 citations
with Katharina Rath, David Rügamer, U. von Toussaint, Christopher G. Albert
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach
published 2023 · Data Mining and Knowledge Discovery · 109 citations · first circulated 2020
deepregression : A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression
published 2023 · Journal of Statistical Software · 8 citations · first circulated 2021
Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition
published 2023 · IEEE Access · 15 citations · first circulated 2022
with Felix Ott, David Rügamer, Lucas Heublein, Christopher Mutschler
Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based Optimization
published 2022 · Journal of Computational and Graphical Statistics · 3 citations · first circulated 2021
with Daniel Schalk, David Rügamer
Grouped feature importance and combined features effect plot
published 2022 · Data Mining and Knowledge Discovery · 65 citations · first circulated 2021
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
published 2022 · Computational Statistics · 153 citations
with Florian Pargent, Florian Pfisterer, Janek Thomas
A Regression-Based Methodology for Online Algorithm Selection
published 2021 · Proceedings of the International Symposium on Combinatorial Search · 6 citations
with Hans Degroote, Patrick De Causmaecker, Lars Kotthoff
mcboost: Multi-Calibration Boosting for R
published 2021 · The Journal of Open Source Software · 4 citations
with Florian Pfisterer, Christoph Kern, Susanne Dandl, Matthew Z. Sun, Michael P. Kim
Towards Explaining Hyperparameter Optimization via Partial Dependence Plots
published 2021 · International Conference on Machine Learning · 10 citations
mlr3proba: an R package for machine learning in survival analysis
published 2021 · Bioinformatics · 125 citations · first circulated 2020
with Raphael Sonabend, Franz J. Király, Andreas Bender, Michel Lang
mlr3pipelines - Flexible Machine Learning Pipelines in R
published 2021 · Journal of Machine Learning Research · 18 citations
with Martin Binder, Florian Pfisterer, Michel Lang, Lennart Schneider, Lars Kotthoff
no link
Automated Online Experiment-Driven Adaptation–Mechanics and Cost Aspects
published 2021 · IEEE Access · 4 citations
with Ilias Gerostathopoulos, František Plášil, Christian Prehofer, Janek Thomas
High-Resolution Motor State Detection in Parkinson’s Disease Using Convolutional Neural Networks
published 2020 · Scientific Reports · 80 citations
with Franz Pfister, Terry Taewoong Um, Daniel Pichler, Jann Goschenhofer, Kian Abedinpour, M. Lang, Satoshi Endo, Andrés Ceballos-Baumann, Sandra Hirche, Dana Kulić, Urban M. Fietzek
working paper 2020 · arXiv · 4 citations
with Ashrya Agrawal, Florian Pfisterer, Jiahao Chen, Srijan Sood, Sameena Shah, Francois Buet-Golfouse, Bilal A. Mateen, Sebastian J. Vollmer
mlr3: A modern object-oriented machine learning framework in R
published 2019 · The Journal of Open Source Software · 471 citations
Benchmark for filter methods for feature selection in high-dimensional classification data
published 2019 · Computational Statistics & Data Analysis · 737 citations
with Andrea Bommert, Xudong Sun, Jörg Rahnenführer, Michel Lang
Proceedings of Reisensburg 2016–2017
published 2019 · Computational Statistics
with Matthias Schmid, Hans A. Kestler
compboost: Modular Framework for Component-Wise Boosting
published 2018 · The Journal of Open Source Software · 4 citations
with Daniel Schalk, Janek Thomas
Time series anomaly detection based on shapelet learning
published 2018 · Computational Statistics · 52 citations
with Laura Beggel, Bernhard X. Kausler, Martin Schiegg, Michael Pfeiffer
Proceedings of Reisensburg 2014–2015
published 2018 · Computational Statistics · 1 citations
with Hans A. Kestler, Matthias Schmid
OpenML: An R package to connect to the machine learning platform OpenML
published 2017 · Computational Statistics · 43 citations
Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates
published 2017 · Statistics and Computing · 75 citations
with Janek Thomas, Andreas Mayr, Matthias Schmid, Adam Smith, Benjamin Hofner
batchtools: Tools for R to work on batch systems
published 2017 · The Journal of Open Source Software · 79 citations
with Michel Lang, Dirk Surmann
Multilabel Classification with R Package mlr
published 2017 · The R Journal · 17 citations
A comparative study on large scale kernelized support vector machines
published 2016 · Advances in Data Analysis and Classification · 22 citations
with Daniel Horn, Aydın Demircioğlu, Tobias Glasmachers, Claus Weihs
On Class Imbalance Correction for Classification Algorithms in Credit Scoring
published 2016 · Operations research proceedings · 13 citations
with Tobias Kühn, Gero Szepannek
The Residual-Based Predictiveness Curve: A Visual Tool to Assess the Performance of Prediction Models
published 2015 · Biometrics · 6 citations
BatchJobs and BatchExperiments : Abstraction Mechanisms for Using R in Batch Environments
published 2015 · Journal of Statistical Software · 50 citations
with Michel Lang, Olaf Mersmann, Jörg Rahnenführer, Claus Weihs
Automatic model selection for high-dimensional survival analysis
published 2014 · Journal of Statistical Computation and Simulation · 50 citations
with Michel Lang, Helena Kotthaus, Peter Marwedel, Claus Weihs, Jörg Rahnenführer
Runtime and memory consumption analyses for machine learning R programs
published 2014 · Journal of Statistical Computation and Simulation · 19 citations
with Helena Kotthaus, Ingo Korb, Michel Lang, Jörg Rahnenführer, Peter Marwedel
Benchmarking local classification methods
published 2013 · Computational Statistics · 23 citations
with Julia Schiffner, Claus Weihs
Huge Music Archives on Mobile Devices
published 2011 · IEEE Signal Processing Magazine · 7 citations
with Holger Blume, Martin Botteck, Christian Igel, Rainer Martin, Günther Roetter, Günter Rudolph, Wolfgang Theimer, Igor Vatolkin, Claus Weihs
Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.
Built from arXiv and OpenAlex. Supported by UKRI grant APP47921 (Martin Weidner, UCL · Francis J. DiTraglia, Oxford).