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#p_nagler

VN25

Preprint (Oct. 2025)

#p_nagler

HWN+25

Decomposing Global Feature Effects Based on Feature Interactions

ECML-PKDD 2025

#p_bischl #p_nagler

FLK+25

Towards More Realistic Climate Model Outputs: A Multivariate Bias Correction Based on Zero-Inflated Vine Copulas

Journal of the Royal Statistical Society. Series C (Applied Statistics).qlaf044. Aug. 2025

#p_kuechenhoff #p_nagler

AKN+25

Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression With Interpretable Marginals

UAI 2025

#p_nagler #p_ruegamer

SRN25

Adjustment for Confounding Using Pre-Trained Representations

ICML 2025

#p_nagler #p_ruegamer

PP25

PROBLEM-TAILORED MULTI-OBJECTIVE OPTIMIZATION ALGORITHM CONSTRUCTION by PARETO REFLECTIONS

Journal of Mathematical Sciences. Jul. 2025

#p_nagler

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

CVN+25

Vine Copulas as Differentiable Computational Graphs

Preprint (Jun. 2025)

#p_nagler

MLN+25

Assessing Climate-Driven Mortality Risk: A Stochastic Approach With Distributed Lag Non-Linear Models

Preprint (Jun. 2025)

#p_nagler #p_navab

DKP+25

Paths and Ambient Spaces in Neural Loss Landscapes

AISTATS 2025

#p_nagler #p_ruegamer

NV25

Solving Estimating Equations With Copulas

AISTATS 2025

#p_nagler

NR25

Uncertainty Quantification for Prior-Fitted Networks Using Martingale Posteriors

AABI 2025

#p_nagler #p_ruegamer

NR25a

Uncertainty Quantification for Prior-Fitted Networks Using Martingale Posteriors

FPI @ICLR 2025

#p_nagler #p_ruegamer

FLH+25

Modelling Climate Variables at High Temporal Resolution

Preprint (Feb. 2025)

#p_kuechenhoff #p_nagler

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

NSB+24

Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization

NeurIPS 2024

#p_bischl #p_feurer #p_nagler

KNF+24

Towards Localization via Data Embedding for TabPFN

TLR @NeurIPS 2024

#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

GN24

Asymptotics for Estimating a Diverging Number of Parameters -- With and Without Sparsity

Preprint (Nov. 2024)

#p_nagler

RKW+24

Generalizing Orthogonalization for Models With Non-Linearities

ICML 2024

#p_bischl #p_nagler #p_ruegamer

RKC+24

Interpretable Machine Learning for TabPFN

XAI 2024

#p_bischl #p_feurer #p_nagler #p_ruegamer

SHL+24

Label-Wise Aleatoric and Epistemic Uncertainty Quantification

UAI 2024

#p_bischl #p_huellermeier #p_nagler

PN24

An Online Bootstrap for Time Series

AISTATS 2024

#p_nagler

SHW+23

Second-Order Uncertainty Quantification: Variance-Based Measures

Preprint (Dec. 2023)

#p_bischl #p_huellermeier #p_nagler

RGD+23

Approximately Bayes-Optimal Pseudo-Label Selection

UAI 2023

#p_bischl #p_nagler

Nag23

Statistical Foundations of Prior-Data Fitted Networks

ICML 2023

#p_nagler

NV23

Solving Estimating Equations With Copulas

Journal of the American Statistical Association 119.546. Mar. 2023

#p_nagler

LNR22

Modeling Stochastic Data Using Copulas for Applications in the Validation of Autonomous Driving

Electronics 11.24. Dec. 2022

#p_nagler

PSP22

Parameter Individual Optimal Experimental Design and Calibration of Parametric Models

IEEE Access 10. Oct. 2022

#p_nagler
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0001-01-01 - Last modified: 0001-01-01