2021
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
ICML 2021spotlight
Marginal-likelihood based model-selection, even though promising, is rarely used in deep learning due to estimation difficulties. Instead, most approaches rely on validation data, which may not be readily available. In this work, we present a scalable marginal-likelihood estimation method to select…