Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data

1 code implementation • 15 Jul 2019 • Simão Eduardo, Alfredo Nazábal, Christopher K. I. Williams, Charles Sutton

We show experimentally that not only RVAE performs better than several state-of-the-art methods in cell outlier detection and repair for tabular data, but also that is robust against the initial hyper-parameter selection.

Imputation Outlier Detection

Autoencoders and Probabilistic Inference with Missing Data: An Exact Solution for The Factor Analysis Case

1 code implementation • 11 Jan 2018 • Christopher K. I. Williams, Charlie Nash, Alfredo Nazábal

We show how to calculate exactly the latent posterior distribution for the factor analysis (FA) model in the presence of missing data, and note that this solution implies that a different encoder network is required for each pattern of missingness.