2020
Uncertainty Quantification for Sparse Deep Learning
AISTATS 2020poster
Deep learning methods continue to have a decided impact on machine learning, both in theory and in practice. Statistical theoretical developments have been mostly concerned with approximability or rates of estimation when recovering infinite dimensional objects (curves or densities). Despite the imp…