Eli Bingham

According to our database, Eli Bingham authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

Automated Efficient Estimation using Monte Carlo Efficient Influence Functions.

Raj Agrawal, Sam Witty, Andy Zane, Eli Bingham

CoRR, 2024

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

Functional Tensors for Probabilistic Programming.

Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Du Phan, Jonathan P. Chen

CoRR, 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

Tensor Variable Elimination for Plated Factor Graphs.

Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Neeraj Pradhan, Justin T. Chiu, Alexander M. Rush, Noah D. Goodman

Proceedings of the 36th International Conference on Machine Learning, 2019