3 papers
stat.ME2026
Multiple Jump MCMC: A Scalable Algorithm for Bayesian Inference on Binary Model Spaces
Lucas Vogels, Reza Mohammadi, Marit Schoonhoven +2
This article considers Bayesian model inference on binary model spaces. Binary model spaces are used by a large class of models, including graphical models, variable selection, mix…
cs.LG2025
The Role of Feature Interactions in Graph-based Tabular Deep Learning
Elias Dubbeldam, Reza Mohammadi, Marit Schoonhoven +1
Accurate predictions on tabular data rely on capturing complex, dataset-specific feature interactions. Attention-based methods and graph neural networks, referred to as graph-based…
math.OC2025
Coherent Local Explanations for Mathematical Optimization
Daan Otto, Jannis Kurtz, S. Ilker Birbil
The surge of explainable artificial intelligence methods seeks to enhance transparency and explainability in machine learning models. At the same time, there is a growing demand fo…