Hong-Phuong Dang

Small variance asymptotics and bayesian nonparametrics for dictionary learning

2018

Bayesian nonparametric (BNP) is an appealing framework to infer the complexity of a model along with the parameters. To this aim, sampling or variational methods are often used for inference. However, these methods come with …