Picture for Thomas Nagler

Thomas Nagler

Constructing Confidence Intervals for 'the' Generalization Error -- a Comprehensive Benchmark Study

Add code
Sep 27, 2024
Viaarxiv icon

Label-wise Aleatoric and Epistemic Uncertainty Quantification

Add code
Jun 04, 2024
Viaarxiv icon

Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization

Add code
May 24, 2024
Viaarxiv icon

Generalizing Orthogonalization for Models with Non-linearities

Add code
May 03, 2024
Viaarxiv icon

Interpretable Machine Learning for TabPFN

Add code
Mar 16, 2024
Viaarxiv icon

Second-Order Uncertainty Quantification: Variance-Based Measures

Add code
Dec 30, 2023
Viaarxiv icon

An Online Bootstrap for Time Series

Add code
Oct 30, 2023
Viaarxiv icon

Statistical Foundations of Prior-Data Fitted Networks

Add code
May 18, 2023
Viaarxiv icon

Approximate Bayes Optimal Pseudo-Label Selection

Add code
Feb 20, 2023
Viaarxiv icon

Explaining predictive models using Shapley values and non-parametric vine copulas

Add code
Feb 12, 2021
Figure 1 for Explaining predictive models using Shapley values and non-parametric vine copulas
Figure 2 for Explaining predictive models using Shapley values and non-parametric vine copulas
Figure 3 for Explaining predictive models using Shapley values and non-parametric vine copulas
Figure 4 for Explaining predictive models using Shapley values and non-parametric vine copulas
Viaarxiv icon