2 papers
stat.ME2026
Parameter estimation in Conditional Sequential Monte Carlo algorithms through Particle Learning
Alfonso Diz-Lois Palomares, Geir Storvik
In this work, we explore particle learning strategies for the joint estimation of static parameters and latent states within conditional sequential Monte Carlo (CSMC) algorithms. B…
stat.ML2026
Dirichlet Scale Mixture Priors for Bayesian Neural Networks
August Arnstad, Leiv Rønneberg, Geir Storvik
Neural networks are the cornerstone of modern machine learning, yet can be difficult to interpret, give overconfident predictions and are vulnerable to adversarial attacks. Bayesia…