ViX: Analysis-driven Compiler for Efficient Low-Precision Variational Inference
Author:
Affiliation:
1. University of Illinois Urbana-Champaign,Department of Computer Science
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10136870/10136706/10137324.pdf?arnumber=10137324
Reference17 articles.
1. A dual number abstraction for static analysis of Clarke Jacobians
2. Statheros: Compiler for Efficient Low-Precision Probabilistic Programming
3. Black box variational inference;ranganath;Artificial Intelligence and Statistics,2014
4. A general construction for abstract inter-pretation of higher-order automatic differentiation;laurel;(OOPSLA),2022
5. Continualization of Probabilistic Programs With Correction
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1. Synthesizing Precise Static Analyzers for Automatic Differentiation;Proceedings of the ACM on Programming Languages;2023-10-16
2. Diamont: dynamic monitoring of uncertainty for distributed asynchronous programs;International Journal on Software Tools for Technology Transfer;2023-08
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