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Praveen Narayanan
Praveen Narayanan
Google, Indiana University, Cornell University
Dirección de correo verificada de cornell.edu
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Probabilistic inference by program transformation in Hakaru (system description)
P Narayanan, J Carette, W Romano, C Shan, R Zinkov
Functional and Logic Programming: 13th International Symposium, FLOPS 2016 …, 2016
1352016
Symbolic disintegration with a variety of base measures
P Narayanan, C Shan
ACM Transactions on Programming Languages and Systems (TOPLAS) 42 (2), 1-60, 2020
142020
Symbolic conditioning of arrays in probabilistic programs
P Narayanan, C Shan
Proceedings of the ACM on Programming Languages 1 (ICFP), 1-25, 2017
132017
From high-level inference algorithms to efficient code
R Walia, P Narayanan, J Carette, S Tobin-Hochstadt, C Shan
Proceedings of the ACM on Programming Languages 3 (ICFP), 1-30, 2019
122019
Applications of a disintegration transformation
P Narayanan, C Shan
Program Transformations for ML Workshop at NeurIPS 2019, 2019
42019
Graph algorithms in a guaranteeddeterministic language
P Narayanan, RR Newton
Workshop on Deterministic and Correctness in Parallel Programming (WoDet’14), 2014
32014
A combinator library for MCMC sampling
P Narayanan, C Shan
3rd NIPS Workshop on Probabilistic Programming, 2014
32014
Verifiable and reusable conditioning
P Narayanan
Indiana University, 2019
22019
Efficient compilation of array probabilistic programs
R Walia, J Carette, P Narayanan, C Shan, S Tobin-Hochstadt
arXiv preprint arXiv:1805.06562, 2018
22018
Inference Building Blocks
J Carett, O Kiselyov, WI Mohammed, P Narayanan, N Ramsey, ...
2018
Building blocks for exact and approximate inference
J Carette, P Narayanan, W Romano, C Shan, R Zinkov
More support for symbolic disintegration
P Narayanan, C Shan
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Artículos 1–12