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Journal Articles

Jeffrey Regier and Philip B. Stark.
Mini-Minimax uncertainty quantification for emulators.
SIAM/ASA Journal on Uncertainty Quantification, 2015.
[pdf] [code]

Refereed Proceedings

Jeffrey Regier, Jon McAuliffe, and Prabhat.
A deep generative model for astronomical images of galaxies.
Neural Informational Processing Systems (NIPS) Workshop: Advances in Approximate Bayesian Inference, 2015.
[pdf]

Jeffrey Regier, Andrew Miller, Jon McAuliffe, Ryan Adams, Matt Hoffman, Dustin Lang, David Schlegel, and Prabhat.
Celeste: Variational inference for a generative model of astronomical images.
Proceedings of the 32nd International Conference on Machine Learning (ICML), 2015.
[pdf] [code]

Andrew Miller, Albert Wu, Jeffrey Regier, Jon McAuliffe, Dustin Lang, Prabhat, David Schlegel, and Ryan Adams.
A Gaussian process model of quasar spectral energy distributions.
Advances in Neural Information Processing Systems (NIPS), 2015.

Jeffrey Regier, Brenton Partridge, Jon McAuliffe, Ryan Adams, Matt Hoffman, Dustin Lang, David Schlegel, and Prabhat.
Celeste: Scalable variational inference for a generative model of astronomical images.
Neural Informational Processing Systems (NIPS) Workshop: Advances in Variational Inference. 2014.
[pdf] [code]

Patents

Jeffrey Regier and Uri Avissar.
System and method for retrieving and intelligently grouping definitions found in a repository of documents.
US Patent 7,747,555. June 2010.
[Google patents] [pdf]