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All publications by Dustin Lang
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Celeste: Variational inference for a generative model of astronomical images
Jeffrey Regier, Andrew Miller, Jon Mcauliffe, Ryan Adams, Matt Hoffman, Dustin Lang, David Schlegel and Mr Prabhat
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Gaussian Process Model of Quasar Spectral Energy Distributions
Andrew Miller, Albert Wu, Jeff Regier, Jon Mcauliffe, Dustin Lang, Mr. Prabhat, David Schlegel and Ryan P. Adams
Advances in Neural Information Processing Systems 28, 2015


Fast particle smoothing: if I had a million particles
Mike Klaas, Mark Briers, Nando D. Freitas, Arnaud Doucet, Simon Maskell and Dustin Lang
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Fast Krylov Methods for N-Body Learning
Nando D. Freitas, Yang Wang, Maryam Mahdaviani and Dustin Lang
Advances in Neural Information Processing Systems 18, 2005


Beat Tracking the Graphical Model Way
Dustin Lang and Nando D. Freitas
Advances in Neural Information Processing Systems 17, 2004