论文标题
张量流概率的联合分布
Joint Distributions for TensorFlow Probability
论文作者
论文摘要
概率编程的中心宗旨是，在适用于推理算法可用的规范表示中，精确地指定了一个模型。我们描述了tensorflow概率中定向图形模型的声明性表示的联合分配。
A central tenet of probabilistic programming is that a model is specified exactly once in a canonical representation which is usable by inference algorithms. We describe JointDistributions, a family of declarative representations of directed graphical models in TensorFlow Probability.
