2 papers
math.ST2026
Minimaxity and Admissibility of Bayesian Neural Networks
Daniel Andrew Coulson, Martin T. Wells
Bayesian neural networks (BNNs) offer a natural probabilistic formulation for inference in deep learning models. Despite their popularity, their optimality has received limited att…
stat.ML2025
Foreclassing: A new machine learning perspective on human decision making with temporal data
Daniel Andrew Coulson, Martin T. Wells
Time series forecasts are widely used to inform decisions. Human decision-makers interpret these forecasts, incorporate prior experience and uncertainty about future outcomes, and…