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#p_huellermeier

LHM+25a

Credal Prediction Based on Relative Likelihood

NeurIPS 2025

#p_huellermeier

FKH+25a

Feedback Forensics: A Toolkit to Measure AI Personality

Preprint (Oct. 2025)

#p_huellermeier

DH25a

Distribution Matching for Graph Quantification Under Structural Covariate Shift

ECML-PKDD 2025

#p_huellermeier

RCA+25

Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration for Exosuit Personalization

ECML-PKDD 2025

#p_bischl #p_huellermeier

SJH25

Aleatoric and Epistemic Uncertainty in Conformal Prediction

COPA 2025

#p_huellermeier

DKG+25

Problem Solving Through Human-AI Preference-Based Cooperation

Computational Linguistics. Sep. 2025

#p_huellermeier #p_kreuter #p_schuetze

HH25a

Conformalized Prescriptive Machine Learning for Uncertainty-Aware Automated Decision Making: The Case of Goodwill Requests

International Journal of Data Science and Analytics 20.3. Sep. 2025

#p_huellermeier

WGD+25

Fine-Grained Uncertainty Decomposition in Large Language Models: A Spectral Approach

Preprint (Sep. 2025)

#p_huellermeier #p_tresp

BMF+25

Explaining Similarity in Vision-Language Encoders With Weighted Banzhaf Interactions

Preprint (Aug. 2025)

#p_huellermeier

HJO+25

Conformal Prediction Without Nonconformity Scores

UAI 2025

#p_huellermeier

FJK+25a

Comparing Comparisons: Informative and Easy Human Feedback With Distinguishability Queries

ICML 2025

#p_huellermeier

HKH+25

MSL: Multi-Class Scoring Lists for Interpretable Incremental Decision-Making

XAI 2025

#p_huellermeier

KNH25

Antithetic Sampling for Top-K Shapley Identification

XAI 2025

#p_huellermeier

SR25a

Online Selective Conformal Prediction: Errors and Solutions

Transactions on Machine Learning Research. Jul. 2025

#p_huellermeier

HH25

Aleatoric and Epistemic Uncertainty Measures for Ordinal Classification Through Binary Reduction

Preprint (Jul. 2025)

#p_huellermeier

MKT+25

RunAndSchedule2Survive: Algorithm Scheduling Based on Run2Survive

ACM Transactions on Evolutionary Learning and Optimization Just Accepted. Jun. 2025

#p_huellermeier

GWH25

Information Leakage Detection Through Approximate Bayes-Optimal Prediction

Information Sciences in Press, Journal Pre-Proof.122419. Jun. 2025

#p_huellermeier

KWB+25a

A Survey of Reinforcement Learning From Human Feedback

Transactions on Machine Learning Research. Jun. 2025

#p_huellermeier

HSH25

Uncertainty Quantification With Proper Scoring Rules: Adjusting Measures to Prediction Tasks

Preprint (May. 2025)

#p_huellermeier

JZT+25a

Optimal Conformal Prediction Under Epistemic Uncertainty

Preprint (May. 2025)

#p_huellermeier

WGH+25

Is Your Prompt Safe? Investigating Prompt Injection Attacks Against Open-Source LLMs

Preprint (May. 2025)

#p_huellermeier

SKF+25

Adaptive Prompting: Ad-Hoc Prompt Composition for Social Bias Detection

NAACL 2025

#p_huellermeier

FKH+25

Inverse Constitutional AI: Compressing Preferences Into Principles

ICLR 2025

#p_huellermeier

MFF+25

Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks

ICLR 2025

#p_huellermeier

VFM+25

Explaining Outliers Using Isolation Forest and Shapley Interactions

ESANN 2025

#p_huellermeier

BSL+25

An Axiomatic Assessment of Entropy- And Variance-Based Uncertainty Quantification in Regression

Preprint (Apr. 2025)

#p_huellermeier #p_kutyniok

FSH+25b

Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues

Preprint (Apr. 2025)

#p_huellermeier

RHN+25

Masked Autoencoder Self Pre-Training for Defect Detection in Microelectronics

Preprint (Apr. 2025)

#p_huellermeier

DH25

Adjusted Count Quantification Learning on Graphs

Preprint (Mar. 2025)

#p_huellermeier

FJK+25

DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning From Human Feedback

AAAI 2025

#p_huellermeier

HHF+25

Probabilistic Scoring Lists for Interpretable Machine Learning

Machine Learning 114.55. Feb. 2025

#p_huellermeier

JMH+25

A Calibration Test for Evaluating Set-Based Epistemic Uncertainty Representations

Preprint (Feb. 2025)

#p_huellermeier

PKH+25

Shapley Value Approximation Based on K-Additive Games

Preprint (Feb. 2025)

#p_huellermeier

MJS+25

Conformal Prediction in Hierarchical Classification

Preprint (Jan. 2025)

#p_huellermeier

SH25

Random Forest Calibration

Preprint (Jan. 2025)

#p_huellermeier

JSH+24

Conformalized Credal Set Predictors

NeurIPS 2024

#p_huellermeier

MBF+24

Shapiq: Shapley Interactions for Machine Learning

NeurIPS 2024

#p_huellermeier

SSD+24a

Uncertainty Estimation of Lake Ice Cover Maps From a Random Forest Classifier Using MODIS TOA Reflectance Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18. Dec. 2024

#p_huellermeier

FMH+24

Unifying Feature-Based Explanations With Functional ANOVA and Cooperative Game Theory

Preprint (Dec. 2024)

#p_huellermeier

TAB24

MORE–PLR: Multi-Output Regression Employed for Partial Label Ranking

DS 2024

#p_huellermeier

HHR+24

Stakeholder-Centric Explanations for Black-Box Decisions: An XAI Process Model and Its Application to Automotive Goodwill Assessments

Frontiers in Artificial Intelligence 7. Oct. 2024

#p_huellermeier

DH24a

CUQ-GNN: Committee-Based Graph Uncertainty Quantification Using Posterior Networks

ECML-PKDD 2024

#p_huellermeier

FWB+24

MetaQuRe: Meta-Learning From Model Quality and Resource Consumption

ECML-PKDD 2024

#p_huellermeier

VWG+24

Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning

ECML-PKDD 2024

#p_bischl #p_huellermeier

MFH+24a

Explaining Change in Models and Data With Global Feature Importance and Effects

TempXAI @ECML-PKDD 2024

#p_huellermeier

KHB24

Piecewise-Stationary Dueling Bandits

Transactions on Machine Learning Research. Sep. 2024

#p_huellermeier

BWB+24

Best Arm Identification With Retroactively Increased Sampling Budget for More Resource-Efficient HPO

IJCAI 2024

#p_huellermeier

HHF+24

Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems

International Journal of Approximate Reasoning 171. Aug. 2024

#p_huellermeier

FMK+24

KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions

ICML 2024

#p_huellermeier

HLE+24

Position: Why We Must Rethink Empirical Research in Machine Learning

ICML 2024

#p_bischl #p_boulesteix #p_feurer #p_huellermeier #p_ruegamer

SBC+24

Second-Order Uncertainty Quantification: A Distance-Based Approach

ICML 2024

#p_huellermeier

FJK+24

Comparing Comparisons: Informative and Easy Human Feedback With Distinguishability Queries

MHFAIA @ICML 2024

#p_huellermeier

HSH24a

Quantifying Aleatoric and Epistemic Uncertainty: A Credal Approach

SPIGM @ICML 2024

#p_huellermeier

KHH24

How Much Can Stratification Improve the Approximation of Shapley Values?

XAI 2024

#p_huellermeier

DH24

Linear Opinion Pooling for Uncertainty Quantification on Graphs

UAI 2024

#p_huellermeier

SHL+24

Label-Wise Aleatoric and Epistemic Uncertainty Quantification

UAI 2024

#p_bischl #p_huellermeier #p_nagler

LIH24

Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification

AIME 2024

#p_huellermeier #p_ingrisch

JAB+24

Remaining Useful Lifetime Estimation of Bearings Operating Under Time-Varying Conditions

PHME 2024

#p_huellermeier

BHB+24

Dueling Bandits With Delayed Feedback

DataNinja SAIOnARA 2024

#p_huellermeier

Hue24

On the Challenge of Quantifying Epistemic Uncertainty in Machine Learning

SIPTA

#p_huellermeier

KBW+24

OCALM: Object-Centric Assessment With Language Models

Preprint (Jun. 2024)

#p_huellermeier

MWG+24

ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data

Preprint (Jun. 2024)

#p_huellermeier #p_seidl

VSW+24

Probabilistic Self-Supervised Representation Learning via Scoring Rules Minimization

ICLR 2024

#p_bischl #p_huellermeier

BHH24

Identifying Copeland Winners in Dueling Bandits With Indifferences

AISTATS 2024

#p_huellermeier

KMF+24

SVARM-IQ: Efficient Approximation of Any-Order Shapley Interactions Through Stratification

AISTATS 2024

#p_huellermeier

HSH24

Quantifying Aleatoric and Epistemic Uncertainty With Proper Scoring Rules

Preprint (Apr. 2024)

#p_huellermeier

KBM+24

Approximating the Shapley Value Without Marginal Contributions

AAAI 2024

#p_huellermeier

LH24

Mitigating Label Noise Through Data Ambiguation

AAAI 2024

#p_huellermeier

MFH+24

Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles

AAAI 2024

#p_huellermeier

HS24

Preference Learning and Multiple Criteria Decision Aiding: Differences, Commonalities, and Synergies -- Part I

4OR. Jan. 2024

#p_huellermeier

HS24a

Preference Learning and Multiple Criteria Decision Aiding: Differences, Commonalities, and Synergies -- Part II

4OR. Jan. 2024

#p_huellermeier

MLW+25

SynthACticBench: A Capability-Based Synthetic Benchmark for Algorithm Configuration

GECCO 2025

#p_huellermeier

FMK+23

SHAP-IQ: Unified Approximation of Any-Order Shapley Interactions

NeurIPS 2023

#p_huellermeier

SHW+23

Second-Order Uncertainty Quantification: Variance-Based Measures

Preprint (Dec. 2023)

#p_bischl #p_huellermeier #p_nagler

HFH23

Probabilistic Scoring Lists for Interpretable Machine Learning

DS 2023

#p_huellermeier

BSS+23

Contextual Preselection Methods in Pool-Based Realtime Algorithm Configuration

LWDA 2023

#p_huellermeier

HKH+23

Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain

LWDA 2023

#p_huellermeier

BB23

Shapley-Based Feature Selection for Online Algorithm Selection

DynXAI @ECML-PKDD 2023

#p_huellermeier

HH23

Rectifying Bias in Ordinal Observational Data Using Unimodal Label Smoothing

ECML-PKDD 2023

#p_huellermeier

MFH+23

ISAGE: An Incremental Version of SAGE for Online Explanation on Data Streams

ECML-PKDD 2023

#p_huellermeier

KBB+23

On the Challenges and Practices of Reinforcement Learning From Real Human Feedback

HLDM @ECML-PKDD 2023

#p_huellermeier #p_kreuter

TMH+23

Uncertainty Meets Explainability @ECML-PKDD 2023

#p_huellermeier

JSH+23

Conformal Prediction With Partially Labeled Data

COPA 2023

#p_huellermeier

CSH+23

A Novel Bayes' Theorem for Upper Probabilities

Epi UAI 2023

#p_huellermeier

HH23a

Weighting by Tying: A New Approach to Weighted Rank Correlation

Preprint (Aug. 2023)

#p_huellermeier

SCH23

Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?

UAI 2023

#p_huellermeier

WSH+23

Quantifying Aleatoric and Epistemic Uncertainty in Machine Learning: Are Conditional Entropy and Mutual Information Appropriate Measures?

UAI 2023

#p_bischl #p_huellermeier

BBR+23

Compare-XAI: Toward Unifying Functional Testing Methods for Post-Hoc XAI Algorithms Into a Multi-Dimensional Benchmark

XAI 2023

#p_huellermeier

MFJ+23

IPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios

XAI 2023

#p_huellermeier #p_kasneci_gjergji

BHW23

On Second-Order Scoring Rules for Epistemic Uncertainty Quantification

ICML 2023

#p_huellermeier

WOH23

Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification

GECCO 2023

#p_huellermeier

TTH+23

Towards Green Automated Machine Learning: Status Quo and Future Directions

Journal of Artificial Intelligence Research 77. Jun. 2023

#p_huellermeier

WDB+23

UnGoML: Automated Classification of Unsafe Usages in Go

MSR 2023

#p_huellermeier

SGW23

Meta-Learning for Automated Selection of Anomaly Detectors for Semi-Supervised Datasets

IDA 2023

#p_huellermeier

TTF+23

PyExperimenter: Easily Distribute Experiments and Track Results

The Journal of Open Source Software 8.86. Apr. 2023

#p_huellermeier

BMR+23

Optimizing Data Shapley Interaction Calculation From $O(2^n)$ to $O(t N^2)$ for KNN Models

Preprint (Apr. 2023)

#p_huellermeier

Hue23

Representation of Quantification of Uncertainty in Machine Learning

TRR 165/181 2023

#p_huellermeier

BSH+23

AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration

AAAI 2023

#p_huellermeier

BWI+23

Iterative Deepening Hyperband

Preprint (Feb. 2023)

#p_huellermeier

BH23

Multi-Armed Bandits With Censored Consumption of Resources

Machine Learning 112.1. Jan. 2023

#p_huellermeier

GDH23

Preprint (Jan. 2023)

#p_huellermeier

LJS+22

Machine Learning for Estimating Parameters of a Convective-Scale Model: A Comparison of Neural Networks and Random Forests

Computational Intelligence 2022

#p_huellermeier

BHW22

Pitfalls of Epistemic Uncertainty Quantification Through Loss Minimisation

NeurIPS 2022

#p_huellermeier

BBH+22

Finding Optimal Arms in Non-Stochastic Combinatorial Bandits With Semi-Bandit Feedback and Finite Budget

NeurIPS 2022

#p_huellermeier

CLH+22

Scikit-Weak: A Python Library for Weakly Supervised Machine Learning

IJCRS 2022

#p_huellermeier

SBT+22

A Survey of Methods for Automated Algorithm Configuration

Journal of Artificial Intelligence Research 75. Oct. 2022

#p_huellermeier

SBT+22a

A Survey of Methods for Automated Algorithm Configuration

IJCAI-ECAI 2022

#p_huellermeier

NSH22

How to Measure Uncertainty in Uncertainty Sampling for Active Learning

Machine Learning 111.1. Jan. 2022

#p_huellermeier
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0001-01-01 - Last modified: 0001-01-01