McAuliffe, Jon

4 publications

ICML 2019 Rao-Blackwellized Stochastic Gradients for Discrete Distributions Runjing Liu, Jeffrey Regier, Nilesh Tripuraneni, Michael Jordan, Jon Mcauliffe

NeurIPS 2017 Fast Black-Box Variational Inference Through Stochastic Trust-Region Optimization Jeffrey Regier, Michael I Jordan, Jon McAuliffe

NeurIPS 2015 A Gaussian Process Model of Quasar Spectral Energy Distributions Andrew Miller, Albert Wu, Jeff Regier, Jon McAuliffe, Dustin Lang, Mr. Prabhat, David Schlegel, Ryan P. Adams

ICML 2015 Celeste: Variational Inference for a Generative Model of Astronomical Images Jeffrey Regier, Andrew Miller, Jon McAuliffe, Ryan Adams, Matt Hoffman, Dustin Lang, David Schlegel, Mr Prabhat