论文标题
深贝叶斯非参数分析
Deep Bayesian Nonparametric Factor Analysis
论文作者
论文摘要
我们提出了一个具有Beta过程的深层生成因子分析模型，该模型可以在潜在代码上近似复杂的非事实分布。我们在该模型的特定实例化中概述了可扩展推断的随机EM算法，并提出了一些初步结果。
We propose a deep generative factor analysis model with beta process prior that can approximate complex non-factorial distributions over the latent codes. We outline a stochastic EM algorithm for scalable inference in a specific instantiation of this model and present some preliminary results.
