Particle Gibbs with Ancestor Sampling for Probabilistic Programs by van de Meent, J, Yang, H, Mansinghka, V, Wood, F

Black-box policy search with probabilistic programs by Van De Meent, J, Paige, B, Tolpin, D, Wood, F

Bayesian Optimization for Probabilistic Programs by Rainforth, T, Le, T, van de Meent, J, Osborne, M, Wood, F

Interacting particle Markov chain Monte Carlo by Doucet, A, Rainforth, T, Naesseth, C, Lindsten, F, Paige, B, Wood, F, van de Meent, J

Learning disentangled representations with semi-supervised deep generative models by Siddharth, N, Paige, B, Van De Meent, J, Desmaison, A, Goodman, N, Kohli, P, Wood, F, Torr, P