Bartlett, Foster, and Telgarsky

Papers challenge deep learning theory with generalization bound critiques

Two papers, one from 2016 by Zhang et al. and another from 2019 by Nagarajan and Kolter, are discussed for their impact on deep learning theory. The 2016 paper demonstrated that standard neural networks could easily mem…