Uday Kiran Reddy Tadipatri

A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks

We propose a general framework for deriving generalization bounds for parallel positively homogeneous neural networks--a class of neural networks whose input-output map decomposes as the sum of positively homogeneous maps. Examples of such networks include matrix factorization and sensing, single…