2020
A Bayesian Perspective on Training Speed and Model Selection
NeurIPS 2020poster
We take a Bayesian perspective to illustrate a connection between training speed and the marginal likelihood in linear models. This provides two major insights: first, that a measure of a model's training speed can be used to estimate its marginal likelihood. Second, that this measure, under certain…