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Decomposing reverse-mode automatic differentiation


May 20, 2021
Roy Frostig, Matthew J. Johnson, Dougal Maclaurin, Adam Paszke, Alexey Radul

* Presented at the LAFI 2021 workshop at POPL, 17 January 2021 

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Automatically Batching Control-Intensive Programs for Modern Accelerators


Oct 23, 2019
Alexey Radul, Brian Patton, Dougal Maclaurin, Matthew D. Hoffman, Rif A. Saurous

* 10 pages; under review for Systems and Machine Learning 2020 

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Simple, Distributed, and Accelerated Probabilistic Programming


Nov 29, 2018
Dustin Tran, Matthew Hoffman, Dave Moore, Christopher Suter, Srinivas Vasudevan, Alexey Radul, Matthew Johnson, Rif A. Saurous

* Appears in Neural Information Processing Systems, 2018. Code available at http://bit.ly/2JpFipt 

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Time Series Structure Discovery via Probabilistic Program Synthesis


May 22, 2017
Ulrich Schaechtle, Feras Saad, Alexey Radul, Vikash Mansinghka

* The first two authors contributed equally to this work 

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Probabilistic programs for inferring the goals of autonomous agents


Apr 18, 2017
Marco F. Cusumano-Towner, Alexey Radul, David Wingate, Vikash K. Mansinghka


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Probabilistic Programming with Gaussian Process Memoization


Jan 05, 2016
Ulrich Schaechtle, Ben Zinberg, Alexey Radul, Kostas Stathis, Vikash K. Mansinghka

* 36 pages, 9 figures 

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