TL;DR该论文提出了斯坦梯度估计器,通过直接估计隐式定义分布的评分函数,消除了许多学习隐式模型的近似。该方法的有效性通过元学习和熵正则化 GAN 的实例得到了证明。
Abstract
implicit models, which allow for the generation of samples but not for
point-wise evaluation of probabilities, are omnipresent in real-world problems
tackled by machine learning and a hot topic of current researc