2020
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data
AISTATS 2020poster
We focus on the problem of unsupervised cell outlier detection and repair inmixed-type tabular data. Traditional methods are concerned only with detecting which rows in the dataset areoutliers. However, identifying which cells are corrupted in aspecific row is an important problem in practice, and t…