2017
Population Matching Discrepancy and Applications in Deep Learning
NeurIPS 2017poster
A differentiable estimation of the distance between two distributions based on samples is important for many deep learning tasks. One such estimation is maximum mean discrepancy (MMD). However, MMD suffers from its sensitive kernel bandwidth hyper-parameter, weak gradients, and large mini-batch siz…