Bernd Bischl

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 223

Top Venues

CoRR

J. Open Source Softw.

GECCO Companion

Comput. Stat.

Technical University Dortmund, Germany (PHD)

Education History

Technical University Dortmund, Germany

PHD

Publications

Philipp Kopper, David Rügamer, Raphael Sonabend, Bernd Bischl, Andreas Bender
Training Survival Models using Scoring Rules. CoRR (2024)
Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, Bernd Bischl, Andreas Bender
Deep learning for survival analysis: a review. Artif. Intell. Rev. 57 (3) (2024)
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
On the Robustness of Global Feature Effect Explanations. CoRR (2024)
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek
Efficient and Accurate Explanation Estimation with Distribution Compression. CoRR (2024)
Susanne Dandl, Kristin Blesch, Timo Freiesleben, Gunnar König, Jan Kapar, Bernd Bischl, Marvin N. Wright
CountARFactuals - Generating plausible model-agnostic counterfactual explanations with adversarial random forests. CoRR (2024)
Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou, Ludwig Bothmann, Bernd Bischl, David Rügamer
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? CoRR (2024)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction. WACV (2024)
Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas Mueller, Frank Hutter, Matthias Feurer, Bernd Bischl
Position: A Call to Action for a Human-Centered AutoML Paradigm. CoRR (2024)
Daniel Schalk, Bernd Bischl, David Rügamer
Privacy-preserving and lossless distributed estimation of high-dimensional generalized additive mixed models. Stat. Comput. 34 (1) (2024)
Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration. CoRR (2024)
Vasilis Gkolemis, Christos Diou, Eirini Ntoutsi, Theodore Dalamagas, Bernd Bischl, Julia Herbinger, Giuseppe Casalicchio
Effector: A Python package for regional explanations. CoRR (2024)
Amirhossein Vahidi, Simon Schoßer, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization. ICLR (2024)
Moritz Herrmann, F. Julian D. Lange, Katharina Eggensperger, Giuseppe Casalicchio, Marcel Wever, Matthias Feurer, David Rügamer, Eyke Hüllermeier, Anne-Laure Boulesteix, Bernd Bischl
Position: Why We Must Rethink Empirical Research in Machine Learning. CoRR (2024)
Lukas Burk, John Zobolas, Bernd Bischl, Andreas Bender, Marvin N. Wright, Raphael Sonabend
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data. CoRR (2024)
Yang Zhang, Yawei Li, Xinpeng Wang, Qianli Shen, Barbara Plank, Bernd Bischl, Mina Rezaei, Kenji Kawaguchi
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models. CoRR (2024)
Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, Gunnar König
A Guide to Feature Importance Methods for Scientific Inference. CoRR (2024)
Susanne Dandl, Marc Becker, Bernd Bischl, Giuseppe Casalicchio, Ludwig Bothmann
mlr3summary: Concise and interpretable summaries for machine learning models. CoRR (2024)
Thomas Nagler, Lennart Schneider, Bernd Bischl, Matthias Feurer
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization. CoRR (2024)
Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. J. Artif. Intell. Res. 79 (2024)
Jann Goschenhofer, Bernd Bischl, Zsolt Kira
ConstraintMatch for Semi-constrained Clustering. IJCNN (2023)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis. PAKDD (3) (2023)
Susanne Dandl, Giuseppe Casalicchio, Bernd Bischl, Ludwig Bothmann
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations. CoRR (2023)
Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio
Decomposing Global Feature Effects Based on Feature Interactions. CoRR (2023)
Lisa Wimmer, Yusuf Sale, Paul Hofman, Bernd Bischl, Eyke Hüllermeier
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? UAI (2023)
Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML. CoRR (2023)
Florian Pfisterer, Siyi Wei, Sebastian J. Vollmer, Michel Lang, Bernd Bischl
Fairness Audits and Debiasing Using \pkg{mlr3fairness}. R J. 15 (1) (2023)
Christoph Molnar, Timo Freiesleben, Gunnar König, Julia Herbinger, Tim Reisinger, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. xAI (1) (2023)
David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. J. Stat. Softw. 105 (2) (2023)
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)
Mina Rezaei, Farzin Soleymani, Bernd Bischl, Shekoofeh Azizi
Deep Bregman divergence for self-supervised representations learning. Comput. Vis. Image Underst. 235 (2023)
Christian A. Scholbeck, Julia Moosbauer, Giuseppe Casalicchio, Hoshin Gupta, Bernd Bischl, Christian Heumann
Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis. CoRR (2023)
Ibrahim Tolga Öztürk, Rostislav Nedelchev, Christian Heumann, Esteban Garces Arias, Marius Roger, Bernd Bischl, Matthias Aßenmacher
How Different Is Stereotypical Bias Across Languages? 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)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis. CoRR (2023)
Susanne Dandl, Andreas Hofheinz, Martin Binder, Bernd Bischl, Giuseppe Casalicchio
counterfactuals: An R Package for Counterfactual Explanation Methods. CoRR (2023)
Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers. CoRR (2023)
Chris Kolb, Christian L. Müller, Bernd Bischl, David Rügamer
Smoothing the Edges: A General Framework for Smooth Optimization in Sparse Regularization using Hadamard Overparametrization. CoRR (2023)
Daniel Schalk, Bernd Bischl, David Rügamer
Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based Optimization. J. Comput. Graph. Stat. 32 (2) (2023)
Sarah Segel, Helena Graf, Alexander Tornede, Bernd Bischl, Marius Lindauer
Symbolic Explanations for Hyperparameter Optimization. AutoML (2023)
Sai Rahul Kaminwar, Jann Goschenhofer, Janek Thomas, Ingo Thon, Bernd Bischl
Structured Verification of Machine Learning Models in Industrial Settings. Big Data 11 (3) (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)
Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei
A Dual-Perspective Approach to Evaluating Feature Attribution Methods. CoRR (2023)
Amirhossein Vahidi, Simon Schoßer, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
Probabilistic Self-supervised Learning via Scoring Rules Minimization. CoRR (2023)
Tobias Pielok, Bernd Bischl, David Rügamer
Approximate Bayesian Inference with Stein Functional Variational Gradient Descent. ICLR (2023)
Amadeu Scheppach, Hüseyin Anil Gündüz, Emilio Dorigatti, Philipp C. Münch, Alice C. McHardy, Bernd Bischl, Mina Rezaei, Martin Binder
Neural Architecture Search for Genomic Sequence Data. CIBCB (2023)
Bernd Bischl, Martin Binder, Michel Lang, Tobias Pielok, Jakob Richter, Stefan Coors, Janek Thomas, Theresa Ullmann, Marc Becker, Anne-Laure Boulesteix, Difan Deng, Marius Lindauer
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges. WIREs Data. Mining. Knowl. Discov. 13 (2) (2023)
Holger Löwe, Christian A. Scholbeck, Christian Heumann, Bernd Bischl, Giuseppe Casalicchio
fmeffects: An R Package for Forward Marginal Effects. CoRR (2023)
Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry. ECML/PKDD (1) (2023)
Felix Ott, Lucas Heublein, David Rügamer, Bernd Bischl, Christopher Mutschler
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments. CoRR (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)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Unreading Race: Purging Protected Features from Chest X-ray Embeddings. CoRR (2023)
Daniel Schalk, Verena S. Hoffmann, Bernd Bischl, Ulrich Mansmann
dsBinVal: Conducting distributed ROC analysis using DataSHIELD. J. Open Source Softw. 8 (83) (2023)
Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry. CoRR (2023)
Ivo Couckuyt, Sebastian Rojas-Gonzalez, Jürgen Branke, Bernd Bischl
Bayesian Optimization. GECCO Companion (2023)
Amirhossein Vahidi, Lisa Wimmer, Hüseyin Anil Gündüz, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning. CoRR (2023)
Yang Zhang, Yawei Li, Hannah Brown, Mina Rezaei, Bernd Bischl, Philip Torr, Ashkan Khakzar, Kenji Kawaguchi
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments. CoRR (2023)
Daniel Saggau, Mina Rezaei, Bernd Bischl, Ilias Chalkidis
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning. ACL (Findings) (2023)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition. IEEE Access 11 (2023)
Emilio Dorigatti, Benjamin Schubert, Bernd Bischl, David Rügamer
Frequentist Uncertainty Quantification in Semi-Structured Neural Networks. AISTATS (2023)
Hüseyin Anil Gündüz, Sheetal Giri, Martin Binder, Bernd Bischl, Mina Rezaei
Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences. ICMLA (2023)
Susanne Dandl, Giuseppe Casalicchio, Bernd Bischl, Ludwig Bothmann
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations. ECML/PKDD (3) (2023)
Jann Goschenhofer, Bernd Bischl, Zsolt Kira
ConstraintMatch for Semi-constrained Clustering. 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)
Lukas Rauch, Matthias Aßenmacher, Denis Huseljic, Moritz Wirth, Bernd Bischl, Bernhard Sick
ActiveGLAE: A Benchmark for Deep Active Learning with Transformers. ECML/PKDD (1) (2023)
Matthias Feurer, Katharina Eggensperger, Edward Bergman, Florian Pfisterer, Bernd Bischl, Frank Hutter
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives. IDA (2023)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition. CoRR (2023)
Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick
Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. IAL@PKDD/ECML (2023)
Daniel Saggau, Mina Rezaei, Bernd Bischl, Ilias Chalkidis
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning. CoRR (2023)
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction. CoRR (2023)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift. CoRR (2022)
Julia Moosbauer, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl
Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution. CoRR (2022)
Felix Ott, Nisha Lakshmana Raichur, David Rügamer, Tobias Feigl, Heiko Neumann, Bernd Bischl, Christopher Mutschler
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression. CoRR (2022)
Mina Rezaei, Janne J. Näppi, Bernd Bischl, Hiroyuki Yoshida
Bayesian uncertainty estimation for detection of long-tail and unseen conditions in abdominal images. Medical Imaging: Computer-Aided Diagnosis (2022)
Daniel Schalk, Bernd Bischl, David Rügamer
Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed Models. CoRR (2022)
Emilio Dorigatti, Jann Goschenhofer, Benjamin Schubert, Mina Rezaei, Bernd Bischl
Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection. CoRR (2022)
Matthias Feurer, Katharina Eggensperger, Edward Bergman, Florian Pfisterer, Bernd Bischl, Frank Hutter
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives. CoRR (2022)
Shunjie-Fabian Zheng, JaeEun Nam, Emilio Dorigatti, Bernd Bischl, Shekoofeh Azizi, Mina Rezaei
Joint Debiased Representation and Image Clustering Learning with Self-Supervision. CoRR (2022)
Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. CoRR (2022)
Susanne Dandl, Florian Pfisterer, Bernd Bischl
Multi-objective counterfactual fairness. GECCO Companion (2022)
Florian Pargent, Florian Pfisterer, Janek Thomas, Bernd Bischl
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features. Comput. Stat. 37 (5) (2022)
Christian A. Scholbeck, Giuseppe Casalicchio, Christoph Molnar, Bernd Bischl, Christian Heumann
Marginal Effects for Non-Linear Prediction Functions. CoRR (2022)
Pieter Gijsbers, Marcos L. P. Bueno, Stefan Coors, Erin LeDell, Sébastien Poirier, Janek Thomas, Bernd Bischl, Joaquin Vanschoren
AMLB: an AutoML Benchmark. CoRR (2022)
Emilio Dorigatti, Bernd Bischl, Benjamin Schubert
Improved proteasomal cleavage prediction with positive-unlabeled learning. CoRR (2022)
Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas
Tackling Neural Architecture Search With Quality Diversity Optimization. AutoML (2022)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach. WACV (2022)
Emilio Dorigatti, Jonas Schweisthal, Bernd Bischl, Mina Rezaei
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision. CoRR (2022)
Ludwig Bothmann, Sven Strickroth, Giuseppe Casalicchio, David Rügamer, Marius Lindauer, Fabian Scheipl, Bernd Bischl
Developing Open Source Educational Resources for Machine Learning and Data Science. Teaching ML (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)
Daniel Schalk, Verena S. Hoffmann, Bernd Bischl, Ulrich Mansmann
Distributed non-disclosive validation of predictive models by a modified ROC-GLM. CoRR (2022)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition. ICPR Workshops (1) (2022)
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
Cross-Modal Common Representation Learning with Triplet Loss Functions. CoRR (2022)
David Rügamer, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, Clemens Stachl
Factorized Structured Regression for Large-Scale Varying Coefficient Models. ECML/PKDD (5) (2022)
Ludwig Bothmann, Kristina Peters, Bernd Bischl
What Is Fairness? Implications For FairML. CoRR (2022)
Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas
Tackling Neural Architecture Search With Quality Diversity Optimization. CoRR (2022)
Philipp Kopper, Simon Wiegrebe, Bernd Bischl, Andreas Bender, David Rügamer
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis. CoRR (2022)
Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bernd Bischl