Particle Gibbs with Ancestor Sampling for Probabilistic Programs

Jan-Willem van de Meent, Hongseok Yang, Vikash Mansinghka +1

Particle Markov chain Monte Carlo techniques rank among current state-of-the-art methods for probabilistic program inference. A drawback of these techniques is that they rely on im…