Yura Perov

Applications of Probabilistic Programming (Master's thesis, 2015)

2016 · arXiv (Cornell University)

This thesis describes work on two applications of probabilistic programming: the learning of probabilistic program code given specifications, in particular program code of one-dimensional samplers; and the facilitation of sequential Monte Carlo inference with help …