Zero-inflated count outcomes

Reinforcement learning for sequential decision-making. From healthcare to finance (Talk @ Sapienza University)

Thompson sampling for count data in mobile health trials (Invited Talk @ University of Cambridge)

Mobile health (mHealth) technologies aim to improve distal outcomes, such as clinical conditions, by optimizing proximal outcomes through just-in-time adaptive interventions. Contextual bandits provide a suitable framework for customizing such …