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Uniform, nonparametric, non-asymptotic confidence sequences
A confidence sequence is a sequence of confidence intervals that is unif...
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Rao-Blackwellized Stochastic Gradients for Discrete Distributions
We wish to compute the gradient of an expectation over a finite or count...
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Cataloging the Visible Universe through Bayesian Inference at Petascale
Astronomical catalogs derived from wide-field imaging surveys are an imp...
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Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
We introduce TrustVI, a fast second-order algorithm for black-box variat...
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Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference
Celeste is a procedure for inferring astronomical catalogs that attains ...
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Celeste: Variational inference for a generative model of astronomical images
We present a new, fully generative model of optical telescope image sets...
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Variational inference for large-scale models of discrete choice
Discrete choice models are commonly used by applied statisticians in num...
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Jon McAuliffe
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