Bischl, Bernd
- Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
2021/07/13 by Bernd Bischl, Martin Binder, Bischl, Bernd +21 · 26 citations
Computer Science · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Metaheuristic Optimization Algorithms Research
- Tunability: Importance of Hyperparameters of Machine Learning Algorithms
2018/02/26 by Philipp Probst, Probst, Philipp, Bernd Bischl +3 · 17 citations
Computer Science · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Explainable Artificial Intelligence (XAI)
- General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
2020/07/08 by Christoph Molnar, Molnar, Christoph, Gunnar König +15 · 10 citations
Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization
2021/09/08 by Florian Pfisterer, Pfisterer, Florian, Lennart Schneider +7 · 11 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
- Robust Anomaly Detection in Images using Adversarial Autoencoders
2019/01/18 by Beggel, Laura, Pfeiffer, Michael, Bischl, Bernd · 5 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- AMLB: an AutoML Benchmark
2022/07/25 by Gijsbers, Pieter, Bueno, Marcos L. P., Coors, Stefan +5 · 7 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Position: Why We Must Rethink Empirical Research in Machine Learning
2024/05/03 by Moritz Herrmann, Herrmann, Moritz, F. Julian D. Lange +18 · 1 voice · 9 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Online Learning and Analytics #cs.LG #stat.ML
- Explaining Hyperparameter Optimization via Partial Dependence Plots
2021/11/08 by Julia Moosbauer, Moosbauer, Julia, Julia Herbinger +7 · 5 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
- Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis
2023/03/20 by Tobias Weber, Michael Ingrisch, Weber, Tobias +5 · 6 citations
Computer Science · Social Sciences · #Computational and Text Analysis Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling #electronic engineering #information engineering
- Smoothing the Edges: Smooth Optimization for Sparse Regularization using Hadamard Overparametrization
2023/07/07 by Kolb, Chris, Müller, Christian L., Bischl, Bernd +1 · 6 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Probing for sparse and fast variable selection with model-based boosting
2017/02/15 by Janek Thomas, Tobias Hepp, Thomas, Janek +5 · 2 citations
Biochemistry, Genetics and Molecular Biology · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gene expression and cancer classification #Genetic and phenotypic traits in livestock #Machine Learning (stat.ML) #Statistical Methods and Inference
- ASlib: A Benchmark Library for Algorithm Selection
2015/06/08 by Bischl, Bernd, Kerschke, Pascal, Kotthoff, Lars +8 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
2022/05/31 by Mehmet Özgür Türkoglu, Turkoglu, Mehmet Ozgur, Alexander Becker +15 · 3 citations
Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Machine Learning in Materials Science
- FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models
2024/05/28 by Yang Zhang, Zhang, Yang, Yawei Li +13 · 5 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- An Open Source AutoML Benchmark
2019/07/01 by Gijsbers, Pieter, LeDell, Erin, Thomas, Janek +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry
2023/04/06 by Wiese, Jonas Gregor, Wimmer, Lisa, Papamarkou, Theodore +3 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Decomposing Global Feature Effects Based on Feature Interactions
2023/06/01 by Julia Herbinger, Herbinger, Julia, Wright, Marvin N. +3 · 3 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Efficient Automated Deep Learning for Time Series Forecasting
2022/05/11 by Difan Deng, Deng, Difan, Florian Karl +7 · 2 citations
Computer Science · Decision Sciences · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning and Data Classification #Stock Market Forecasting Methods
- Position: A Call to Action for a Human-Centered AutoML Paradigm
2024/06/05 by Marius Lindauer, Lindauer, Marius, Florian Karl +15 · 4 citations
Computer Science · #Machine Learning and Data Classification
- HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
2022/07/30 by Lennart Schneider, Lennart Schäpermeier, Schneider, Lennart +9 · 2 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
- Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models
2023/07/17 by Lennart Schneider, Schneider, Lennart, Bernd Bischl +3 · 2 citations
Computer Science · #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning
- Probabilistic Self-supervised Learning via Scoring Rules Minimization
2023/09/05 by Vahidi, Amirhossein, Schoßer, Simon, Wimmer, Lisa +4 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Automatic Exploration of Machine Learning Experiments on OpenML
2018/06/28 by Kühn, Daniel, Probst, Philipp, Thomas, Janek +1 · 1 citation
#Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Learning Multiple Defaults for Machine Learning Algorithms
2018/11/23 by Pfisterer, Florian, van Rijn, Jan N., Probst, Philipp +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning
2023/05/25 by Daniel Saggau, Mina Rezaei, Saggau, Daniel +5 · 2 citations
Computer Science · Social Sciences · #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Text and Document Classification Technologies #Topic Modeling
- Debiasing classifiers: is reality at variance with expectation?
2020/11/04 by Agrawal, Ashrya, Pfisterer, Florian, Bischl, Bernd +5 · 1 citation
#68Q32 #68T01 #68T05 #Computers and Society (cs.CY) #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #G.4 #I.2.0 #J.4 #Machine Learning (cs.LG)
- Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration
2024/03/07 by Julian Rodemann, Rodemann, Julian, Federico Croppi +17 · 2 citations
Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI
- REPID: Regional Effect Plots with implicit Interaction Detection
2022/02/15 by Herbinger, Julia, Bischl, Bernd, Casalicchio, Giuseppe · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis
2022/02/12 by Philipp Kopper, Kopper, Philipp, Simon Wiegrebe +7 · 1 citation
Mathematics · Social Sciences · #FOS: Computer and information sciences #Insurance, Mortality, Demography, Risk Management #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistical Methods in Epidemiology
- Calibrating LLMs with Information-Theoretic Evidential Deep Learning
2025/02/10 by Li, Yawei, Rügamer, David, Bischl, Bernd +1 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Factorized Structured Regression for Large-Scale Varying Coefficient Models
2022/05/25 by David Rügamer, Andreas Bender, Rügamer, David +11 · 1 citation
Computer Science · #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Recommender Systems and Techniques
- Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction
2023/05/25 by Weber, Tobias, Ingrisch, Michael, Bischl, Bernd +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
2023/06/16 by Lukas Rauch, Matthias Aßenmacher, Rauch, Lukas +9 · 2 citations
Computer Science · #Machine Learning and Algorithms #Topic Modeling #Natural Language Processing Techniques
- deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression
2021/04/06 by David Rügamer, Chris Kolb, Rügamer, David +25 · 1 citation
Computer Science · Physics and Astronomy · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML
2023/07/17 by Lennart Purucker, Lennart Schneider, Purucker, Lennart +9 · 1 citation
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #I.2.6 #I.5.1 #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural and Evolutionary Computing (cs.NE)
- What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds
2022/05/19 by Ludwig Bothmann, Bothmann, Ludwig, Kristina Peters +3 · 1 citation
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Constructing Confidence Intervals for 'the' Generalization Error -- a Comprehensive Benchmark Study
2024/09/27 by Schulz-Kümpel, Hannah, Fischer, Sebastian, Hornung, Roman +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
2025/02/04 by Chris Kolb, Tobias Weber, Kolb, Chris +5 · 1 voice · 2 citations
Computer Science · Engineering · Social Sciences · #Advanced Computing and Algorithms #Gait Recognition and Analysis #Hand Gesture Recognition Systems #cs.LG #stat.ML
- Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
2024/05/24 by Thomas Nagler, Nagler, Thomas, Lennart Schneider +5 · 2 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
- TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees
2025/09/24 by Panagiotou, Emmanouil, Ronval, Benoît, Roy, Arjun +4 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Overtuning in Hyperparameter Optimization
2025/06/24 by Schneider, Lennart, Bischl, Bernd, Feurer, Matthias · 1 voice · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)