Paul Horsfall

According to our database, Paul Horsfall authored at least 4 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Variational Estimators for Bayesian Optimal Experimental Design.

Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah D. Goodman

CoRR, 2019

Variational Bayesian Optimal Experimental Design.

Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2016

Deep Amortized Inference for Probabilistic Programs.

Daniel Ritchie, Paul Horsfall, Noah D. Goodman

CoRR, 2016