From Embeddings to Explainability: A Tutorial on Large-Language-Model-Based Text Analysis for Behavioral Scientists
Advances in Methods and Practices in Psychological Science 8.3. Jul. 2025
#p_bischl
BCD+25
OpenML: Insights From 10 Years and More Than a Thousand Papers
Patterns 6.7. Jul. 2025
#p_bischl#p_feurer
WBL+25a
Predictive Modeling for Step II Therapy Response in Periodontitis - Model Development and Validation
npj Digital Medicine 8.445. Jul. 2025
#p_bischl#p_nagler
GAB+25
Revisiting Active Learning Under (Human) Label Variation
Preprint (Jul. 2025)
#p_bischl#p_kauermann#p_plank
BBA+25
Privilege Scores
EWAF 2025
#p_bischl
BPB25
What Is Fairness? on Protected Attributes and Fictitious Worlds
EWAF 2025
#p_bischl
LRB25
Overcoming Fairness Trade-Offs via Pre-Processing: A Causal Perspective
EWAF 2025
#p_bischl
WIB+25
Preventing Sensitive Information Leakage via Post-Hoc Orthogonalization With Application to Chest Radiograph Embeddings
PAKDD 2025
#p_bischl#p_ingrisch#p_ruegamer
SGW+25
Unveiling Factors for Enhanced POS Tagging: A Study of Low-Resource Medieval Romance Languages
Preprint (Jun. 2025)
#p_bischl
Sch25
Advancing Hyperparameter Optimization: Foundations, Multiple Objectives and Algorithmic Innovations Informed Through Benchmarking
Dissertation LMU München. May. 2025
#p_bischl
LSH+25
Fmeffects: An R Package for Forward Marginal Effects
The R Journal 16.3. May. 2025
#p_bischl
SZB+25
Examining Marginal Properness in the External Validation of Survival Models With Squared and Logarithmic Losses
Preprint (May. 2025)
#p_bischl
ZWC+25a
OBD-Finder: Explainable Coarse-to-Fine Text-Centric Oracle Bone Duplicates Discovery
Preprint (May. 2025)
#p_bischl
SWG+25
Modern Models, Medieval Texts: A POS Tagging Study of Old Occitan
NLP4DH 2025
#p_bischl
RSB+25
Efficiently Warmstarting MCMC for BNNs
FPI @ICLR 2025
#p_bischl#p_feurer#p_ruegamer
KWB+25
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
ICLR 2025
#p_bischl#p_ruegamer
LRB+25
Calibrating LLMs With Information-Theoretic Evidential Deep Learning
ICLR 2025
#p_bischl#p_ruegamer
BCB+25
Efficient and Accurate Explanation Estimation With Distribution Compression
ICLR 2025
#p_bischl
WBB25
Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning
SCSL @ICLR 2025
#p_bischl
KBR25
Differentiable Attention Sparsity via Structured D-Gating
SLLM @ICLR 2025
#p_bischl#p_ruegamer
Gue25
Designing and Optimizing Deep Learning Methods for Genomic Sequencing Data
Dissertation LMU München. Apr. 2025
#p_bischl
Web25
Advancing Deep Learning in Medical Imaging Through Generative Modeling and Representation Learning
Dissertation LMU München. Apr. 2025
#p_bischl
MMR+25
A Geoparsing Pipeline for Multilingual Social Media Posts From Ukraine
GeoExT @ECIR 2025
#p_bischl
SKR+25
Machine Learning-Based Forecasting of Daily Acute Ischemic Stroke Admissions Using Weather Data
npj Digital Medicine 8.225. Apr. 2025
#p_bischl#p_ruegamer
BDA+25
Privilege Scores for Fairness-Aware ML
DAGStat 2025
#p_bischl
OBL25a
Flexible Modelling of Time-Varying Exposures in Event History Analysis
DAGStat 2025
#p_bischl
OBL25
Flexible Modelling of Time-Varying Exposures and Recurrent Events to Analyse Training Load Effects in Team Sports Injuries
Journal of the Royal Statistical Society. Series C (Applied Statistics) 74.2. Mar. 2025
#p_bischl
HNS+25
Evaluating Machine Learning Models in Non-Standard Settings: An Overview and New Findings
Statistical Science. Mar. 2025. to Be Published. Preprint Available
#p_bischl#p_boulesteix
WAK+25a
AI Conversational Interviewing: Transforming Surveys With LLMs as Adaptive Interviewers
Preprint (Mar. 2025)
#p_bischl#p_kreuter
BBW25
High-Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression
Biometrical Journal 67.1. Feb. 2025
#p_bischl
RGL+25
A Statistical Case Against Empirical Human-AI Alignment
Preprint (Feb. 2025)
#p_bischl
SKB25
Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks
Preprint (Feb. 2025)
#p_bischl
GLH+25
Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation
COLING 2025
#p_bischl
BP25
Fairness Von KI – Ein Brückenschlag Zwischen Philosophie Und Maschinellem Lernen
Grenzen Künstlicher Intelligenz. Jan. 2025
#p_bischl
SFN+25
Constructing Confidence Intervals for 'The' Generalization Error – A Comprehensive Benchmark Study
Journal of Data-Centric Machine Learning Research 2.6. Jan. 2025. to Be Published. Preprint Available
#p_bischl#p_boulesteix#p_nagler
WDR+25
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition
Radiology: Artificial Intelligence 7.2. Jan. 2025
#p_bischl#p_ingrisch#p_ruegamer
ZLW+24
FinerCut: Finer-Grained Interpretable Layer Pruning for Large Language Models
Compression Workshop @NeurIPS 2024
#p_bischl#p_plank
NSB+24
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
NeurIPS 2024
#p_bischl#p_feurer#p_nagler
HWN+24
Decomposing Global Feature Effects Based on Feature Interactions
Journal of Machine Learning Research 25.381. Dec. 2024
#p_bischl#p_nagler
GRL+24b
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation
Findings @EMNLP 2024
#p_bischl
LZK+24
A Dual-Perspective Approach to Evaluating Feature Attribution Methods
Transactions on Machine Learning Research. Nov. 2024
#p_bischl
NCR24
Hyperbolic Contrastive Learning for Document Representations – A Multi-View Approach With Paragraph-Level Similarities
ECAI 2024
#p_bischl
AKS+24
Introducing Wwm-German-18k - Can LLMs Crack the Million? (Or Win at Least 500 Euros?)
ICNLSP 2024
#p_bischl
PBR25a
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent
Preprint (Oct. 2024)
#p_bischl#p_ruegamer
BCB+24
On the Robustness of Global Feature Effect Explanations
ECML-PKDD 2024
#p_bischl
SCV+24
Attention-Driven Dropout: A Simple Method to Improve Self-Supervised Contrastive Sentence Embeddings
ECML-PKDD 2024
#p_bischl
VWG+24
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning
ECML-PKDD 2024
#p_bischl#p_huellermeier
MKB+24
Model-Agnostic Feature Importance and Effects With Dependent Features: A Conditional Subgroup Approach
Data Mining and Knowledge Discovery 38. Sep. 2024
#p_bischl
CBB+24
Energy Expenditure Prediction in Preschool Children: A Machine Learning Approach Using Accelerometry and External Validation
Physiological Measurement 45.9. Sep. 2024
#p_bischl
SZA+24
From Calculation to Adjudication: Examining LLM Judges on Mathematical Reasoning Tasks
Preprint (Sep. 2024)
#p_bischl
UTA+24
Detecting Gender Discrimination on Actor Level Using Linguistic Discourse Analysis
GeBNLP 2024
#p_bischl
PKG+24
Challenging Error Correction in Recognised Byzantine Greek
ML4AL @ACL 2024
#p_bischl
ASW+24
Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing
TeachingNLP @ACL 2024
#p_bischl#p_schuetze
WWP+24
Towards Efficient Posterior Sampling in Deep Neural Networks via Symmetry Removal (Extended Abstract)
IJCAI 2024
#p_bischl#p_guennemann#p_ruegamer
BP24
Fairness Als Qualitätskriterium Im Maschinellen Lernen – Rekonstruktion Des Philosophischen Konzepts Und Implikationen Für Die Nutzung Außergesetzlicher Merkmale Bei Qualifizierten Mietspiegeln
AStA Wirtschafts- Und Sozialstatistisches Archiv 18. Aug. 2024
#p_bischl
SRH+24
Distributed Non-Disclosive Validation of Predictive Models by a Modified ROC-GLM
BMC Medical Research Methodology 24.190. Aug. 2024
#p_bischl#p_rueckert
DDS+24a
Predicting T Cell Receptor Functionality Against Mutant Epitopes
Cell Genomics 4.9. Aug. 2024
#p_bischl
MAS+24
Automatische ICD-10-Codierung
Die Radiologie 64. Aug. 2024
#p_bischl#p_ingrisch
OHR+24
Fusing Structure From Motion and Simulation-Augmented Pose Regression From Optical Flow for Challenging Indoor Environments
Journal of Visual Communication and Image Representation 103. Aug. 2024
#p_bischl#p_ruegamer
BPD+24a
Causal Fair Machine Learning
Statistical Computing 2024
#p_bischl#p_schomaker
BZB+24
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data
Statistical Computing 2024
#p_bischl
HLE+24
Position: Why We Must Rethink Empirical Research in Machine Learning
Position: Embracing Negative Results in Machine Learning
ICML 2024
#p_bischl
LKK+24
Position: A Call to Action for a Human-Centered AutoML Paradigm
ICML 2024
#p_bischl#p_feurer
RKW+24
Generalizing Orthogonalization for Models With Non-Linearities
ICML 2024
#p_bischl#p_nagler#p_ruegamer
SWP+24
Connecting the Dots: Is Mode Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
ICML 2024
#p_bischl#p_ruegamer
DBF+24
CountARFactuals – Generating Plausible Model-Agnostic Counterfactual Explanations With Adversarial Random Forests
XAI 2024
#p_bischl
EBW+24
A Guide to Feature Importance Methods for Scientific Inference
XAI 2024
#p_bischl
RKC+24
Interpretable Machine Learning for TabPFN
XAI 2024
#p_bischl#p_feurer#p_nagler#p_ruegamer
SFC+24
Algorithm-Agnostic Feature Attributions for Clustering
XAI 2024
#p_bischl#p_kuechenhoff
DBB+24a
Mlr3summary: Concise and Interpretable Summaries for Machine Learning Models
XAI 2024
#p_bischl
KKS+24
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
UAI 2024
#p_bischl#p_ruegamer
SHL+24
Label-Wise Aleatoric and Epistemic Uncertainty Quantification
UAI 2024
#p_bischl#p_huellermeier#p_nagler
PKB24
Flexible Additive Models for Multi-Event Survival Analysis
IWSM 2024
#p_bischl#p_kuechenhoff
DBB+24
Mlr3summary: Concise and Interpretable Summaries for Machine Learning Models
UseR! 2024
#p_bischl
FB24
Mlr3torch - Deep Learning in R
UseR! 2024
#p_bischl
RNB24
Can Generative AI-Based Data Balancing Mitigate Unfairness Issues in Machine Learning?
EWAF 2024
#p_bischl
KTE+24
Automated Machine Learning
Unlocking Artificial Intelligence. Jul. 2024
#p_bischl
DMG+24
Divergent Token Metrics: Measuring Degradation to Prune Away LLM Components -- And Optimize Quantization
NAACL 2024
#p_bischl
MHA24
Can OpenSource Beat ChatGPT? - A Comparative Study of Large Language Models for Text-to-Code Generation
SwissText 2024
#p_bischl
RBJ+24
Recurrent Events Analysis With Piece-Wise Exponential Additive Mixed Models
Statistical Modelling 24.3. Jun. 2024
#p_bischl
FRW+24
Predicting the Validity and Reliability of Survey Questions
Preprint (Jun. 2024)
#p_bischl#p_feuerriegel
Dor24
Cancer Immunotherapy Design and Analysis Through Discrete Optimization, Positive-Unlabeled Learning, and Semi-Structured Regression Models
Dissertation LMU München. May. 2024
#p_bischl
Sch24
Bridging Gaps in Interpretable Machine Learning: Sensitivity Analysis, Marginal Effects, and Cluster Explanations
Dissertation LMU München. May. 2024
#p_bischl
Roe24
Stochastic Processes as Surrogate Models for Dynamical Systems in Magnetic Confinement Fusion
Dissertation LMU München. May. 2024
#p_bischl
KFB+24
Towards Quantifying the Effect of Datasets for Benchmarking: A Look at Tabular Machine Learning
DMLR @ICLR 2024
#p_bischl#p_feurer
VSW+24
Probabilistic Self-Supervised Representation Learning via Scoring Rules Minimization
ICLR 2024
#p_bischl#p_huellermeier
SHA+24
Influence of an Allogenic Collagen Scaffold on Implant Sites With Thin Supracrestal Tissue Height: A Randomized Clinical Trial
Clinical Oral Investigations 28.313. May. 2024
#p_bischl
JSD+24
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports
European Radiology 34. May. 2024
#p_bischl#p_ingrisch
DKA+24
From Embeddings to Explainability: A Tutorial on Transformer-Based Text Analysis for Social and Behavioral Scientists
Preprint (May. 2024)
#p_bischl
GMM+24
Optimized Model Architectures for Deep Learning on Genomic Data
Communications Biology 7.1. Apr. 2024
#p_bischl
GDN+24
Effector: A Python Package for Regional Explanations
Preprint (Apr. 2024)
#p_bischl
GHA+24
More Labels or Cases? Assessing Label Variation in Natural Language Inference
UnImplicit 2024
#p_bischl#p_plank
DHH+24
What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
Annals of Applied Statistics 18.1. Mar. 2024
#p_bischl
CKT+24
Time-Varying Determinants of Graft Failure in Pediatric Kidney Transplantation in Europe
Clinical Journal of the American Society of Nephrology 19.3. Mar. 2024
#p_bischl
HKX+24
Relevance of Protein Intake for Weaning in the Mechanically Ventilated Critically Ill: Analysis of a Large International Database
Critical Care Medicine 50.3. Mar. 2024
#p_bischl#p_kuechenhoff
LPR+24
Strategies to Optimise Machine Learning Classification Performance When Using Biomechanical Features
Journal of Biomechanics 165. Mar. 2024
#p_bischl#p_ruegamer
DBH24
Heterogeneous Treatment Effect Estimation for Observational Data Using Model-Based Forests
Statistical Methods in Medical Research 33.3. Mar. 2024
#p_bischl
RTW+24
GPTopic: Dynamic and Interactive Topic Representations
Preprint (Mar. 2024)
#p_bischl
WKS+24
Deep Learning for Survival Analysis: A Review
Artificial Intelligence Review 57.65. Feb. 2024
#p_bischl
SCM+24
Marginal Effects for Non-Linear Prediction Functions
Data Mining and Knowledge Discovery 38. Feb. 2024
#p_bischl
WPF+24
Can Fairness Be Automated? Guidelines and Opportunities for Fairness-Aware AutoML
Journal of Artificial Intelligence Research 79. Feb. 2024
#p_bischl#p_feurer
GBC+24
AMLB: An AutoML Benchmark
Journal of Machine Learning Research 25.101. Feb. 2024
#p_bischl
SBR24
Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed Models
Statistics and Computing 34.31. Feb. 2024
#p_bischl#p_ruegamer
WIB+24
Constrained Probabilistic Mask Learning for Task-Specific Undersampled MRI Reconstruction
WACV 2024
#p_bischl#p_ingrisch#p_ruegamer
BSK+24
Applied Machine Learning Using Mlr3 in R
American Statistician 79.2. Jan. 2024
#p_bischl
CB24
Evaluation and Benchmarking
Applied Machine Learning Using Mlr3 in R I.3. Jan. 2024
#p_bischl
BSF24
Hyperparameter Optimization
Applied Machine Learning Using Mlr3 in R II.4. Jan. 2024
#p_bischl
SB24
Advanced Tuning Methods and Black Box Optimization
Applied Machine Learning Using Mlr3 in R II.5. Jan. 2024
#p_bischl
BP24a
Sequential Pipelines
Applied Machine Learning Using Mlr3 in R II.7. Jan. 2024
#p_bischl
BPB+24a
Non-Sequential Pipelines and Tuning
Applied Machine Learning Using Mlr3 in R II.8. Jan. 2024
#p_bischl
LFS24
Advanced Technical Aspects of Mlr3
Applied Machine Learning Using Mlr3 in R IV.10. Jan. 2024
#p_bischl
FLB24
Large-Scale Benchmarking
Applied Machine Learning Using Mlr3 in R IV.11. Jan. 2024
#p_bischl
DBC+24
Model Interpretation
Applied Machine Learning Using Mlr3 in R IV.12. Jan. 2024
#p_bischl
Gos23
Reducing the Effort for Data Annotation: Contributions to Weakly Supervised Deep Learning
Dissertation LMU München. Dec. 2023
#p_bischl
GGB+23
Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences
ICMLA 2023
#p_bischl
ZLB+23
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments
XAIA 2023 @NeurIPS 2023
#p_bischl
Dan23
Causality Concepts in Machine Learning: Heterogeneous Treatment Effect Estimation With Machine Learning and Model Interpretation With Counterfactual and Semi-Factual Explanations
Dissertation LMU München. Dec. 2023
#p_bischl
GPS+23
Automatic Transcription of Handwritten Old Occitan Language
EMNLP 2023
#p_bischl
Her23
On Grouping and Partitioning Approaches in Interpretable Machine Learning
Dissertation LMU München. Dec. 2023
#p_bischl
KPM+23
Multi-Objective Hyperparameter Optimization in Machine Learning—An Overview
ACM Transactions on Evolutionary Learning and Optimization 3.4. Dec. 2023
#p_bischl
SCS+23
A Comprehensive Machine Learning Benchmark Study for Radiomics-Based Survival Analysis of CT Imaging Data in Patients With Hepatic Metastases of CRC
Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis
Preprint (Dec. 2023)
#p_bischl
RPB+23
Mixture of Experts Distributional Regression: Implementation Using Robust Estimation With Adaptive First-Order Methods
Advances in Statistical Analysis. Nov. 2023
#p_bischl#p_ruegamer
BWC+23
Automated Wildlife Image Classification: An Active Learning Tool for Ecological Applications
Ecological Informatics 77. Nov. 2023
#p_bischl
WIB+23a
Post-Hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings
Preprint (Nov. 2023)
#p_bischl#p_ingrisch#p_ruegamer
Koe23
If Interpretability Is the Answer, What Is the Question?: A Causal Perspective
Dissertation LMU München. Oct. 2023
#p_bischl
RSB+23
Deep Bregman Divergence for Self-Supervised Representations Learning
Computer Vision and Image Understanding 235.103801. Oct. 2023
#p_bischl
ZMB+23
Proteasomal Cleavage Prediction: State-of-the-Art and Future Directions
Preprint (Oct. 2023)
#p_bischl#p_kreuter
BDS23
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions
ECAI 2023
#p_bischl#p_schomaker
HDE+23
Leveraging Model-Based Trees as Interpretable Surrogate Models for Model Distillation
ECAI 2023
#p_bischl
UTA+23
How Prevalent Is Gender Bias in ChatGPT? - Exploring German and English ChatGPT Responses
BDCA @ECML-PKDD 2023
#p_bischl
ONH+23
How Different Is Stereotypical Bias Across Languages?
BIAS @ECML-PKDD 2023
#p_bischl
DCB+23
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations
ECML-PKDD 2023
#p_bischl
RAH+23
ActiveGLAE: A Benchmark for Deep Active Learning With Transformers
ECML-PKDD 2023
#p_bischl
WWP+23
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry
ECML-PKDD 2023
#p_bischl#p_guennemann#p_ruegamer
ARG+23
Towards Enhancing Deep Active Learning With Weak Supervision and Constrained Clustering
IAL @ECML-PKDD 2023
#p_bischl
FHF+23
OpenML-CTR23 - A Curated Tabular Regression Benchmarking Suite
AutoML 2023 - Workshop Track
#p_bischl#p_feurer
PSA+23
Q(D)O-ES: Population-Based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML
AutoML 2023
#p_bischl
SGT+23
Symbolic Explanations for Hyperparameter Optimization
AutoML 2023
#p_bischl
KNG+23
A Tailored Handwritten-Text-Recognition System for Medieval Latin
ALP @RANLP 2023
#p_bischl
GBT+23
A Self-Supervised Deep Learning Method for Data-Efficient Training in Genomics
Communications Biology 6.928. Sep. 2023
#p_bischl
PDS+23
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features
FOGA 2023
#p_bischl
SGD+23
Neural Architecture Search for Genomic Sequence Data
CIBCB 2023
#p_bischl
ORH+23
Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition
IEEE Access 11. Aug. 2023
#p_bischl#p_ruegamer
PWV+23
Fairness Audits and Debiasing Using Mlr3fairness
The R Journal 15.1. Aug. 2023
#p_bischl
RGD+23
Approximately Bayes-Optimal Pseudo-Label Selection
UAI 2023
#p_bischl#p_nagler
WSH+23
Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?
UAI 2023
#p_bischl#p_huellermeier
MFK+23
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process
XAI 2023
#p_bischl
Ott23
Representation Learning for Domain Adaptation and Cross-Modal Retrieval: In the Context of Online Handwriting Recognition and Visual Self-Localization
Dissertation LMU München. Jul. 2023
#p_bischl
GBK23
ConstraintMatch for Semi-Constrained Clustering
IJCNN 2023
#p_bischl
KBM+23
Sparse Modality Regression
IWSM 2023
#p_bischl#p_mueller#p_ruegamer
SBT23
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models
GECCO 2023
#p_bischl
SRB+23
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning
Findings @ACL 2023
#p_bischl
ASH23
Classifying Multilingual Party Manifestos: Domain Transfer Across Country, Time, and Genre
Preprint (Jul. 2023)
#p_bischl
KMB+23a
Smoothing the Edges: Smooth Optimization for Sparse Regularization Using Hadamard Overparametrization
Preprint (Jul. 2023)
#p_bischl#p_mueller#p_ruegamer
KGT+23
Structured Verification of Machine Learning Models in Industrial Settings
Big Data 11.3. Jun. 2023
#p_bischl
RVE+23
Self-Supervised Learning and Self-Labeling Framework for Glaucoma Detection
Investigative Ophthalmology and Visual Science 64.8. Jun. 2023
#p_bischl
Moo23
Towards Explainable Automated Machine Learning
Dissertation LMU München. May. 2023
#p_bischl
WIB+23
Cascaded Latent Diffusion Models for High-Resolution Chest X-Ray Synthesis
PAKDD 2023
#p_bischl#p_ingrisch#p_ruegamer
RRB+23
Dependent State Space Student-T Processes for Imputation and Data Augmentation in Plasma Diagnostics
Contributions to Plasma Physics 63.5-6. May. 2023
#p_bischl#p_ruegamer
PBR23
Approximate Bayesian Inference With Stein Functional Variational Gradient Descent
ICLR 2023
#p_bischl#p_ruegamer
DSB+23
Frequentist Uncertainty Quantification in Semi-Structured Neural Networks
AISTATS 2023
#p_bischl#p_ruegamer
LKG23
Efficient SAGE Estimation via Causal Structure Learning
AISTATS 2023
#p_bischl
FEB+23
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives
IDA 2023
#p_bischl#p_feurer
SBR23
Accelerated Componentwise Gradient Boosting Using Efficient Data Representation and Momentum-Based Optimization
Journal of Computational and Graphical Statistics 32.2. Apr. 2023
#p_bischl#p_ruegamer
HPS23
A Geometric Framework for Outlier Detection in High-Dimensional Data
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery E1491. Apr. 2023
#p_bischl#p_boulesteix#p_scheipl
DHB+23
Counterfactuals: An R Package for Counterfactual Explanation Methods
Preprint (Apr. 2023)
#p_bischl
Sch23a
Modern Approaches for Component-Wise Boosting: Automation, Efficiency, and Distributed Computing With Application to the Medical Domain
Dissertation LMU München. Mar. 2023
#p_bischl
MCL+23
Improving Accuracy of Interpretability Measures in Hyperparameter Optimization via Bayesian Algorithm Execution
COSEAL 2023
#p_bischl
BBL+23
Hyperparameter Optimization: Foundations, Algorithms, Best Practices, and Open Challenges
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13.2. Mar. 2023
#p_bischl#p_boulesteix
KFG23
Improvement-Focused Causal Recourse (ICR)
AAAI 2023
#p_bischl
RKK23
Semi-Structured Distributional Regression
American Statistician. Feb. 2023
#p_bischl#p_ruegamer
SHB+23
DsBinVal: Conducting Distributed ROC Analysis Using DataSHIELD
The Journal of Open Source Software 8.82. Feb. 2023
#p_bischl
GRH+22
CC-Top: Constrained Clustering for Dynamic Topic Discovery
EvoNLP 2022
#p_bischl
ORH+22c
Benchmarking Online Sequence-to-Sequence and Character-Based Handwriting Recognition From IMU-Enhanced Pens
International Journal on Document Analysis and Recognition 25.4. Dec. 2022
#p_bischl#p_ruegamer
FDG+22
Challenges in Interpreting Epidemiological Surveillance Data – Experiences From Germany
Journal of Computational and Graphical Statistics 32.3. Dec. 2022
#p_bischl#p_kauermann#p_kuechenhoff#p_ruegamer
RDR+22
Joint Debiased Representation Learning and Imbalanced Data Clustering
Workshop @ICDM 2022
#p_bischl#p_ruegamer
HTB+22
Transformer Model for Genome Sequence Analysis
LMRL @NeurIPS 2022
#p_bischl
ZMN+22
What Cleaves? Is Proteasomal Cleavage Prediction Reaching a Ceiling?
LMRL @NeurIPS 2022
#p_bischl#p_kreuter#p_ruegamer#p_schuetze
PHS+22
EMT-Related Genes Have No Prognostic Relevance in Metastatic Colorectal Cancer as Opposed to Stage II/III: Analysis of the Randomised, Phase III Trial FIRE-3 (AIO KRK 0306; FIRE-3)
Cancers 14.22. Nov. 2022
#p_bischl#p_kuechenhoff#p_tresp
Pfi22
Democratizing Machine Learning: Contributions in AutoML and Fairness
Dissertation LMU München. Oct. 2022
#p_bischl
ORH+22a
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
MM 2022
#p_bischl#p_ruegamer
MBS+22
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers
IEEE Transactions on Evolutionary Computation 26.6. Oct. 2022
#p_bischl
RRB+22
Data Augmentation for Disruption Prediction via Robust Surrogate Models
Journal of Plasma Physics 88.5. Oct. 2022
#p_bischl#p_ruegamer
RBW+22a
Factorized Structured Regression for Large-Scale Varying Coefficient Models
ECML-PKDD 2022
#p_bischl#p_mueller#p_ruegamer
BSC+22
Developing Open Source Educational Resources for Machine Learning and Data Science
Teaching Machine Learning and Artificial Intelligence Workshop @ECML-PKDD 2022
#p_bischl#p_ruegamer#p_scheipl
DKH+22
Efficient Automated Deep Learning for Time Series Forecasting
Workshops @ECML-PKDD 2022
#p_bischl
WIB+22
Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs
MAD @MICCAI 2022
#p_bischl#p_ingrisch#p_ruegamer
SBV22
Avoiding C-Hacking When Evaluating Survival Distribution Predictions With Discrimination Measures
Bioinformatics 38.17. Sep. 2022
#p_bischl
GCH+22
Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar
Remote Sensing 14.18. Sep. 2022
#p_bischl
DBS+22
Improved Proteasomal Cleavage Prediction With Positive-Unlabeled Learning
Preprint (Sep. 2022)
#p_bischl
DSB+22
Robust and Efficient Imbalanced Positive-Unlabeled Learning With Self-Supervision
Preprint (Sep. 2022)
#p_bischl#p_feuerriegel
SFC22
Algorithm-Agnostic Interpretations for Clustering
Preprint (Sep. 2022)
#p_bischl#p_kuechenhoff
ZND+22
Joint Debiased Representation and Image Clustering Learning With Self-Supervision
Preprint (Sep. 2022)
#p_bischl
ORH+22e
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition
MPRSS @ICPR 2022
#p_bischl#p_ruegamer
ORR+22
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-Aided Absolute Pose Regression
Preprint (Aug. 2022)
#p_bischl#p_ruegamer
SSP+22
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
Preprint (Aug. 2022)
#p_bischl
PSM+22
YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization
AutoML 2022
#p_bischl
SPK+22
Tackling Neural Architecture Search With Quality Diversity Optimization
AutoML 2022
#p_bischl
KLL+22
Uncertainty-Aware Evaluation of Time-Series Classification for Online Handwriting Recognition With Domain Shift
STRL 2022 @IJCAI-ECAI 2022
#p_bischl#p_ruegamer
LKZ+22
Analyzing the Effects of Handling Data Imbalance on Learned Features From Medical Images by Looking Into the Models
IMLH @ICML 2022
#p_bischl#p_navab#p_rueckert
DPB22
Multi-Objective Counterfactual Fairness
GECCO 2022
#p_bischl
SPT+22
A Collection of Quality Diversity Optimization Problems Derived From Hyperparameter Optimization of Machine Learning Models
GECCO 2022
#p_bischl
AHS+22
Grouped Feature Importance and Combined Features Effect Plot
Data Mining and Knowledge Discovery 36. Jun. 2022
#p_bischl
KWB+22
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis
PAKDD 2022
#p_bischl#p_ruegamer
HBC22
REPID: Regional Effect Plots With Implicit Interaction Detection
AISTATS 2022
#p_bischl
PPT+22
Regularized Target Encoding Outperforms Traditional Methods in Supervised Machine Learning With High Cardinality Features
Computational Statistics 37. Mar. 2022
#p_bischl
FDR22
Combining Graph Neural Networks and Spatio-Temporal Disease Models to Predict COVID-19 Cases in Germany
Scientific Reports 12.3930. Mar. 2022
#p_bischl#p_kauermann#p_ruegamer
NHW+22
Over-Optimism in Benchmark Studies and the Multiplicity of Design and Analysis Options When Interpreting Their Results
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12.2. Mar. 2022
#p_bischl#p_boulesteix
ORH+22
Cross-Modal Common Representation Learning With Triplet Loss Functions
Preprint (Mar. 2022)
#p_bischl#p_ruegamer
RNB+22a
Bayesian Uncertainty Estimation for Detection of Long-Tail and Unseen Conditions in Abdominal Images
SPIE 2022
#p_bischl
RNB+22
Deep Mutual GANs: Representation Learning From Multiple Experts
SPIE 2022
#p_bischl
ORH+22b
Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach
WACV 2022
#p_bischl#p_ruegamer
HKB+22
Protein Intake and Outcome of Critically Ill Patients: Analysis of a Large International Database Using Piece-Wise Exponential Additive Mixed Models
Critical Care 26.7. Jan. 2022
#p_bischl#p_kuechenhoff#p_scheipl
PBB+22
A Downscaling Approach to Compare COVID-19 Count Data From Databases Aggregated at Different Spatial Scales
Journal of the Royal Statistical Society. Series a (Statistics in Society) 185.1. Jan. 2022
#p_bischl
DGS+22
Positive-Unlabeled Learning With Uncertainty-Aware Pseudo-Label Selection
Preprint (Jan. 2022)
#p_bischl
WIF+21
Survival-Oriented Embeddings for Improving Accessibility to Complex Data Structures
Bridging the Gap: From ML Research to Clinical Practice @NeurIPS 2021
#p_bischl#p_ingrisch#p_ruegamer
WIB+21
Towards Modelling Hazard Factors in Unstructured Data Spaces Using Gradient-Based Latent Interpolation
Deep Generative Models and Downstream Applications @NeurIPS 2021
#p_bischl#p_ingrisch#p_ruegamer
MHC+21
Explaining Hyperparameter Optimization via Partial Dependence Plots
NeurIPS 2021
#p_bischl
ZKL+21
Fine-Grained Neural Network Explanation by Identifying Input Features With Predictive Information
NeurIPS 2021
#p_bischl#p_navab#p_rueckert
BCF+21
OpenML Benchmarking Suites
Track on Datasets and Benchmarks @NeurIPS 2021
#p_bischl#p_feurer
HCK+21
Machine Learning for the Educational Sciences
Review of Education 9.3. Nov. 2021
#p_bischl
KZM+21
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
MICCAI 2021
#p_bischl#p_navab#p_rueckert
CSB+21
Automatic Componentwise Boosting: An Interpretable AutoML System
ADS @ECML-PKDD 2021
#p_bischl#p_ruegamer
SKB+21
Mlr3proba: An R Package for Machine Learning in Survival Analysis
Bioinformatics 37.17. Sep. 2021
#p_bischl
SEE+21
Deep Variational Clustering Framework for Self-Labeling of Large-Scale Medical Images
Preprint (Sep. 2021)
#p_bischl
FSR+21
Bi-Centric Independent Validation of Outcome Prediction After Radioembolization of Primary and Secondary Liver Cancer
Journal of Clinical Medicine 10.16. Aug. 2021
#p_bischl#p_ingrisch
PKD+21
Mcboost: Multi-Calibration Boosting for R
The Journal of Open Source Software 6.64. Aug. 2021
#p_bischl
KFG21
A Causal Perspective on Meaningful and Robust Algorithmic Recourse
Algorithmic Recourse @ICML 2021
#p_bischl#p_grosse-wentrup
MHR+21
Towards Explaining Hyperparameter Optimization via Partial Dependence Plots
AutoML @ICML 2021
#p_bischl
GPR+21
Meta-Learning for Symbolic Hyperparameter Defaults
GECCO 2021
#p_bischl
PRP+21
Learning Multiple Defaults for Machine Learning Algorithms
GECCO 2021
#p_bischl
PBN+21
Predicting Non-State Terrorism Worldwide
Science Advances 7.31. Jul. 2021
#p_bischl
BPL+21
Mlr3pipelines - Flexible Machine Learning Pipelines in R
Journal of Machine Learning Research 22.184. Jun. 2021
#p_bischl
SCD+21
A Computational Reproducibility Study of PLOS ONE Articles Featuring Longitudinal Data Analyses
PLOS One 16.6. Jun. 2021
#p_bischl#p_boulesteix#p_mueller
KFB+21
Decomposition of Global Feature Importance Into Direct and Associative Components (DEDACT)
Preprint (Jun. 2021)
#p_bischl#p_grosse-wentrup#p_sterkenburg
GPP+21
Automated Online Experiment-Driven Adaptation--Mechanics and Cost Aspects
IEEE Access 9. Apr. 2021
#p_bischl
KPW+21
Semi-Structured Deep Piecewise Exponential Models
AAAI-SPACA 2021
#p_bischl#p_ruegamer#p_wachinger
GHR+21
Deep Semi-Supervised Learning for Time Series Classification
Preprint (Feb. 2021)
#p_bischl#p_ruegamer
KMB+20
Relative Feature Importance
ICPR 2020
#p_bischl#p_grosse-wentrup
BGR+21
Mlr3hyperband: Hyperband for 'Mlr3'
2021
#p_bischl
BLR+21
Mlr3tuning: Tuning for 'Mlr3'
2021
#p_bischl
BRL+21
Bbotk: Black-Box Optimization Toolkit
2021
#p_bischl
Bin21
Mlrintermbo: Model-Based Optimization for 'Mlr3' Through 'MlrMBO'
2021
#p_bischl
Lan21
Mlr3measures: Performance Measures for 'Mlr3'
2021
#p_bischl
LBR+21
Paradox: Define and Work With Parameter Spaces for Complex Algorithms
2021
#p_bischl
RSB+21a
Deepregression: Fitting Semi-Structured Deep Distributional Regression in R
2021
#p_bischl#p_ruegamer
SB21
Mlr3spatiotempcv: Spatiotemporal Resampling Methods for 'Mlr3'
2021
#p_bischl
APB+20
Debiasing Classifiers: Is Reality at Variance With Expectation?
Preprint (Nov. 2020)
#p_bischl
RPB20
Neural Mixture Distributional Regression
Preprint (Oct. 2020)
#p_bischl#p_ruegamer
BRS+20
A General Machine Learning Framework for Survival Analysis
ECML-PKDD 2020
#p_bischl#p_ruegamer#p_scheipl
MCB20
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Workshops @ECML-PKDD 2020
#p_bischl
DMB+20
Multi-Objective Counterfactual Explanations
PPSN 2020
#p_bischl
BPB20a
Collecting Empirical Data About Hyperparameters for Data Driven AutoML
AutoML @ICML 2020
#p_bischl
MKH+20
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
XXAI @ICML 2020
#p_bischl#p_grosse-wentrup
BMT+20
Multi-Objective Hyperparameter Tuning and Feature Selection Using Filter Ensembles
GECCO 2020
#p_bischl
EBB+20
Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning
Journal of Classification 38. Jul. 2020
#p_bischl#p_boulesteix
SAS+20
Predicting Personality From Patterns of Behavior Collected With Smartphones
Proceedings of the National Academy of Sciences 117.30. Jul. 2020
#p_bischl#p_boulesteix
BSL+20
Mlr3fselect: Feature Selection for 'Mlr3'
2020
#p_bischl
BPS+20
Mlr3pipelines: Preprocessing Operators and Pipelines for 'Mlr3'
2020
#p_bischl
Lan20
Mlr3db: Data Base Backend for 'Mlr3'
2020
#p_bischl
Lan20a
Mlr3oml: Connector Between 'Mlr3' and 'OpenML'
2020
#p_bischl
LAC+20
Mlr3learners: Recommended Learners for 'Mlr3'
2020
#p_bischl
LSS20
Mlr3viz: Visualizations for 'Mlr3'
2020
#p_bischl
PL20
Mlr3cluster: Cluster Extension for 'Mlr3'
2020
#p_bischl
SLB+20
Mlr3filters: Filter Based Feature Selection for 'Mlr3'
2020
#p_bischl
SKB20
Mlr3proba: Probabilistic Supervised Learning for 'Mlr3'. R Package Version 0.2.6
2020
#p_bischl
UHB+20
Woody Cover Mapping in the Savanna Ecosystem of the Kruger National Park Using Sentinel-1 C-Band Time Series Data
Koedoe 62.1. Jan. 2020
#p_bischl
LBR+19
Mlr3: A Modern Object-Oriented Machine Learning Framework in R
The Journal of Open Source Software 4.44. Dec. 2019
#p_bischl
BMT+19a
Multi-Objective Hyperparameter Tuning and Feature Selection Using Filter Ensembles
Preprint (Dec. 2019)
#p_bischl
PBS+19
Benchmarking Time Series Classification -- Functional Data vs Machine Learning Approaches
Preprint (Nov. 2019)
#p_bischl#p_scheipl
PTB19
Towards Human Centered AutoML
Preprint (Nov. 2019)
#p_bischl
KG19
A Causal Perspective on Challenges for AI in Precision Medicine
PMBC 2019
#p_bischl#p_grosse-wentrup
BPB20
Robust Anomaly Detection in Images Using Adversarial Autoencoders
ECML-PKDD 2019
#p_bischl
GPY+19
Wearable-Based Parkinson's Disease Severity Monitoring Using Deep Learning
ECML-PKDD 2019
#p_bischl
MCB19
Quantifying Model Complexity via Functional Decomposition for Better Post-Hoc Interpretability
ECML-PKDD 2019
#p_bischl
SMH+19
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model Agnostic Interpretations
ECML-PKDD 2019
#p_bischl
PCT+19
Multi-Objective Automatic Machine Learning With AutoxgboostMC
Workshops @ECML-PKDD 2019
#p_bischl
Tho19
Gradient Boosting in Automatic Machine Learning: Feature Selection and Hyperparameter Optimization
Dissertation LMU München. Apr. 2019
#p_bischl
ASC+19
Component-Wise Boosting of Targets for Multi-Output Prediction
Preprint (Apr. 2019)
#p_bischl
Cas19
On Benchmark Experiments and Visualization Methods for the Evaluation and Interpretation of Machine Learning Models
Dissertation LMU München. Mar. 2019
#p_bischl
PBB19
Tunability: Importance of Hyperparameters of Machine Learning Algorithms
Journal of Machine Learning Research 20. Mar. 2019
#p_bischl#p_boulesteix
BDM19
Mosmafs: Multi-Objective Simultaneous Model and Feature Selection. R Package