论文标题
随机概率程序
Stochastic Probabilistic Programs
论文作者
论文摘要
我们介绍了随机概率计划的概念，并提出了概率编程设施的参考实现，该设施支持随机概率计划的规范及其中的推断。随机概率程序允许在具有滋扰参数，噪声和非确定性的模型中直接规范和有效的推断。我们提供了几个随机概率程序的示例，并将程序与相应的确定性概率程序在模型规范和推理方面进行了比较。我们以讨论开放研究主题和相关工作的讨论结束。
We introduce the notion of a stochastic probabilistic program and present a reference implementation of a probabilistic programming facility supporting specification of stochastic probabilistic programs and inference in them. Stochastic probabilistic programs allow straightforward specification and efficient inference in models with nuisance parameters, noise, and nondeterminism. We give several examples of stochastic probabilistic programs, and compare the programs with corresponding deterministic probabilistic programs in terms of model specification and inference. We conclude with discussion of open research topics and related work.
