Maurizio Filippone

Optimizing Data Augmentation through Bayesian Model Selection

From Data to Rewards: a Bi-level Optimization Perspective on Maximum Likelihood Estimation

Scaling Laws for Uncertainty in Deep Learning

Zero-shot Model-based Reinforcement Learning using Large Language Models

AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting