Eli Bingham

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Variational Bayesian

Experimental Design

Inference In Bayesian Networks

Variable Elimination

Top Venues

J. Mach. Learn. Res.

Publications

Raj Agrawal, Sam Witty, Andy Zane, Eli Bingham
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions. CoRR (2024)
Eli Bingham, Jonathan P. Chen, Martin Jankowiak, Fritz Obermeyer, Neeraj Pradhan, Theofanis Karaletsos, Rohit Singh, Paul A. Szerlip, Paul Horsfall, Noah D. Goodman
Pyro: Deep Universal Probabilistic Programming. J. Mach. Learn. Res. 20 (2019)
Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Neeraj Pradhan, Justin T. Chiu, Alexander M. Rush, Noah D. Goodman
Tensor Variable Elimination for Plated Factor Graphs. ICML (2019)
Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah D. Goodman
Variational Estimators for Bayesian Optimal Experimental Design. CoRR (2019)
Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah D. Goodman
Variational Bayesian Optimal Experimental Design. NeurIPS (2019)
Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Du Phan, Jonathan P. Chen
Functional Tensors for Probabilistic Programming. CoRR (2019)
Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Justin T. Chiu, Neeraj Pradhan, Alexander M. Rush, Noah D. Goodman
Tensor Variable Elimination for Plated Factor Graphs. CoRR (2019)
Eli Bingham, Jonathan P. Chen, Martin Jankowiak, Fritz Obermeyer, Neeraj Pradhan, Theofanis Karaletsos, Rohit Singh, Paul A. Szerlip, Paul Horsfall, Noah D. Goodman
Pyro: Deep Universal Probabilistic Programming. CoRR (2018)