activity
20042021
most citedVariational Inference: A Review for Statisticians

3.9k citations · 5.7k across the 13 of their papers we have counts for

collaborators

13 papers

astro-ph.IM2021★ 7 cited

Variational Inference for Deblending Crowded Starfields

Runjing Liu, Jon D. McAuliffe, Jeffrey Regier

In images collected by astronomical surveys, stars and galaxies often overlap visually. Deblending is the task of distinguishing and characterizing individual light sources in surv…

math.ST2018★ 116 cited

Time-uniform, nonparametric, nonasymptotic confidence sequences

Steven R. Howard, Aaditya Ramdas, Jon McAuliffe +1

A confidence sequence is a sequence of confidence intervals that is uniformly valid over an unbounded time horizon. Our work develops confidence sequences whose widths go to zero,…

stat.ML2018★ 17 cited

Rao-Blackwellized Stochastic Gradients for Discrete Distributions

Runjing Liu, Jeffrey Regier, Nilesh Tripuraneni +2

We wish to compute the gradient of an expectation over a finite or countably infinite sample space having categories. When is indeed infinite, or finite but ver…

math.PR2018★ 85 cited

Time-uniform Chernoff bounds via nonnegative supermartingales

Steven R. Howard, Aaditya Ramdas, Jon McAuliffe +1

We develop a class of exponential bounds for the probability that a martingale sequence crosses a time-dependent linear threshold. Our key insight is that it is both natural and fr…

stat.AP2018★ 4 cited

Approximate Inference for Constructing Astronomical Catalogs from Images

Jeffrey Regier, Andrew C. Miller, David Schlegel +3

We present a new, fully generative model for constructing astronomical catalogs from optical telescope image sets. Each pixel intensity is treated as a random variable with paramet…

cs.DC2018★ 2 cited

Cataloging the Visible Universe through Bayesian Inference at Petascale

Jeffrey Regier, Kiran Pamnany, Keno Fischer +9

Astronomical catalogs derived from wide-field imaging surveys are an important tool for understanding the Universe. We construct an astronomical catalog from 55 TB of imaging data…