-
Uniform, nonparametric, non-asymptotic confidence sequences
A confidence sequence is a sequence of confidence intervals that is unif...
10/18/2018 ∙ by Steven R. Howard, et al. ∙
0
∙
share
read it
-
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
We wish to compute the gradient of an expectation over a finite or count...
10/10/2018 ∙ by Runjing Liu, et al. ∙
0
∙
share
read it
-
Cataloging the Visible Universe through Bayesian Inference at Petascale
Astronomical catalogs derived from wide-field imaging surveys are an imp...
01/31/2018 ∙ by Jeffrey Regier, et al. ∙
0
∙
share
read it
-
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
We introduce TrustVI, a fast second-order algorithm for black-box variat...
06/07/2017 ∙ by Jeffrey Regier, et al. ∙
0
∙
share
read it
-
Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference
Celeste is a procedure for inferring astronomical catalogs that attains ...
11/10/2016 ∙ by Jeffrey Regier, et al. ∙
0
∙
share
read it
-
Celeste: Variational inference for a generative model of astronomical images
We present a new, fully generative model of optical telescope image sets...
06/03/2015 ∙ by Jeffrey Regier, et al. ∙
0
∙
share
read it
-
Variational inference for large-scale models of discrete choice
Discrete choice models are commonly used by applied statisticians in num...
12/15/2007 ∙ by Michael Braun, et al. ∙
0
∙
share
read it
