Marco Gigli

Bootstrap Your Conversions: Thompson Sampling for Partially Observable Delayed Rewards

This paper presents a novel approach to address contextual bandit problems with partially observable, delayed feedback by introducing an approximate Thompson sampling technique. This is a common setting, with applications ranging from online marketing to vaccine trials. Leveraging Bootstrapped Thomp…