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All publications by Mr Prabhat
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Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Mostofa Patwary, Mr Prabhat and Ryan Adams
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 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 and Mr Prabhat
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015