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cs.LG2022
Nonparametric Involutive Markov Chain Monte Carlo
Carol Mak, Fabian Zaiser, Luke Ong
A challenging problem in probabilistic programming is to develop inference algorithms that work for arbitrary programs in a universal probabilistic programming language (PPL). We p…
cs.PL2022★ 4 cited
Guaranteed Bounds for Posterior Inference in Universal Probabilistic Programming
Raven Beutner, Luke Ong, Fabian Zaiser
We propose a new method to approximate the posterior distribution of probabilistic programs by means of computing guaranteed bounds. The starting point of our work is an interval-b…