NeurIPS 2020

The Implications of Local Correlation on Learning Some Deep Functions

Meta Review

The reviews all agree that the paper is well-written, the paper explains clearly that LCA is a reasonable assumption both empirically and theoretically. Moreover, the paper shows a novel result indicating weak learners for distributions with LCA property can be transferred into strong learners. This could have potential impact in deep learning as well.