40 citations · 55 across the 2 of their papers we have counts for
2 papers
stat.ML2017★ 40 cited
Reducing Reparameterization Gradient Variance
Andrew C. Miller, Nicholas J. Foti, Alexander D'Amour +1
Optimization with noisy gradients has become ubiquitous in statistics and machine learning. Reparameterization gradients, or gradient estimates computed via the "reparameterization…
astro-ph.IM2015★ 15 cited
Celeste: Variational inference for a generative model of astronomical images
Jeffrey Regier, Andrew Miller, Jon McAuliffe +5
We present a new, fully generative model of optical telescope image sets, along with a variational procedure for inference. Each pixel intensity is treated as a Poisson random vari…