Deep Amortized Inference for Probabilistic Programs. - Daniel Ritchie; Paul Horsfall; Noah D. Goodman (CoRR, 2016)

Variational Bayesian Optimal Experimental Design. - Adam Foster 001; Martin Jankowiak; Eli Bingham; Paul Horsfall; Yee Whye Teh; Tom Rainforth; Noah D. Goodman (NeurIPS, 2019)

Variational Estimators for Bayesian Optimal Experimental Design. - Adam Foster 001; Martin Jankowiak; Eli Bingham; Paul Horsfall; Yee Whye Teh; Tom Rainforth; Noah D. Goodman (CoRR, 2019)

Pyro: Deep Universal Probabilistic Programming. - Eli Bingham; Jonathan P. Chen; Martin Jankowiak; Fritz Obermeyer; Neeraj Pradhan; Theofanis Karaletsos; Rohit Singh; Paul A. Szerlip; Paul Horsfall; Noah D. Goodman (J. Mach. Learn. Res., 2019)