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--- melange:papers:spring2021 [2021/02/08 07:49]
lnarmour
+++ melange:papers:spring2021 [2021/02/08 07:57]
lnarmour
@@ Line 6: / Line 6: @@
 publisher = {JMLR.org},
 volume = {20},
-number = {1},
+number = {JMLR},
 issn = {1532-4435},
 loc = {J. Mach. Learn. Res.},
@@ Line 12: / Line 12: @@
 pages = {973–978},
 numpages = {6},
-keywords = {probabilistic programming, deep learning, approximate Bayesian inference, graphical models, generative models}
+keywords = {probabilistic programming, deep learning, approximate Bayesian inference, graphical models, generative models},
+url = {https://paperswithcode.com/paper/pyro-deep-universal-probabilistic-programming}
 }
@@ Line 45: / Line 46: @@
 numpages = {24},
 keywords = {Polyhedral model, Polyhedral code generation, Compiler verification},
-loc = {Proceedings of the ACM on Programming Languages}
+loc = {Proc. ACM Program. Lang.}
 }
@@ Line 61: / Line 62: @@
 url={https://doi.org/10.1038/nature14541},
 loc={Nature}
+}
+@article{10.1145/3341702,
+author = {Walia, Rajan and Narayanan, Praveen and Carette, Jacques and Tobin-Hochstadt, Sam and Shan, Chung-chieh},
+title = {From High-Level Inference Algorithms to Efficient Code},
+year = {2019},
+issue_date = {August 2019},
+publisher = {Association for Computing Machinery},
+address = {New York, NY, USA},
+volume = {3},
+number = {ICFP},
+url = {https://doi.org/10.1145/3341702},
+doi = {10.1145/3341702},
+journal = {Proc. ACM Program. Lang.},
+month = jul,
+articleno = {98},
+numpages = {30},
+keywords = {loop optimization, conjugacy, marginalization, collapsed Gibbs sampling, arrays, plates, multidimensional distributions, probabilistic programs, map-reduce},
+loc = {Proc. ACM Program. Lang.}
 }

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