Hi pyro experts,
I come from the general ML/DL world, but am a noob in Bayesian methodologies. I read this Tutorial on scaling SVI to large datasets, and had a few questions on subsampling.
- What is subsampling used for?
- Can sub sampling be thought of as batching (as understood in frequentist ML) in the context of a large dataset?