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Jon McAuliffe
ORCID
Publication Activity (10 Years)
Years Active: 2015-2019
Publications (10 Years): 7
Top Topics
Gibbs Sampler
Bayesian Inference
Hyperparameters
Posterior Distribution
Top Venues
CoRR
NIPS
Bioinform.
ICML
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Publications
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Jeffrey Regier
,
Keno Fischer
,
Kiran Pamnany
,
Andreas Noack
,
Jarrett Revels
,
Maximilian Lam
,
Steve Howard
,
Ryan Giordano
,
David Schlegel
,
Jon McAuliffe
,
Rollin C. Thomas
,
Prabhat
Cataloging the visible universe through Bayesian inference in Julia at petascale.
J. Parallel Distributed Comput.
127 (2019)
Jeffrey Regier
,
Kiran Pamnany
,
Keno Fischer
,
Andreas Noack
,
Maximilian Lam
,
Jarrett Revels
,
Steve Howard
,
Ryan Giordano
,
David Schlegel
,
Jon McAuliffe
,
Rollin C. Thomas
,
Prabhat
Cataloging the Visible Universe through Bayesian Inference at Petascale.
CoRR
(2018)
Runjing Liu
,
Jeffrey Regier
,
Nilesh Tripuraneni
,
Michael I. Jordan
,
Jon McAuliffe
Rao-Blackwellized Stochastic Gradients for Discrete Distributions.
CoRR
(2018)
Jeffrey Regier
,
Kiran Pamnany
,
Keno Fischer
,
Andreas Noack
,
Maximilian Lam
,
Jarrett Revels
,
Steve Howard
,
Ryan Giordano
,
David Schlegel
,
Jon McAuliffe
,
Rollin C. Thomas
,
Prabhat
Cataloging the Visible Universe Through Bayesian Inference at Petascale.
IPDPS
(2018)
Jeffrey Regier
,
Michael I. Jordan
,
Jon McAuliffe
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization.
CoRR
(2017)
Jeffrey Regier
,
Michael I. Jordan
,
Jon McAuliffe
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization.
NIPS
(2017)
Jeffrey Regier
,
Kiran Pamnany
,
Ryan Giordano
,
Rollin C. Thomas
,
David Schlegel
,
Jon McAuliffe
,
Prabhat
Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference.
CoRR
(2016)
Hachem Saddiki
,
Jon McAuliffe
,
Patrick Flaherty
GLAD: a mixed-membership model for heterogeneous tumor subtype classification.
Bioinform.
31 (2) (2015)
Andrew C. Miller
,
Albert Wu
,
Jeffrey Regier
,
Jon McAuliffe
,
Dustin Lang
,
Prabhat
,
David Schlegel
,
Ryan P. Adams
A Gaussian Process Model of Quasar Spectral Energy Distributions.
NIPS
(2015)
Jeffrey Regier
,
Andrew C. Miller
,
Jon McAuliffe
,
Ryan P. Adams
,
Matthew D. Hoffman
,
Dustin Lang
,
David Schlegel
,
Prabhat
Celeste: Variational inference for a generative model of astronomical images.
ICML
(2015)