Handling Incomplete Heterogeneous Data using VAEs
Handling Incomplete Heterogeneous Data using VAEs
A. Nazábal,P. Olmos,Zoubin Ghahramani,Isabel Valera
2018 · DOI: 10.1016/j.patcog.2020.107501
Pattern Recognition · 389 Citations
TLDR
A general framework to design VAEs suitable for fitting incomplete heterogenous data, which includes likelihood models for real-valued, positive real valued, interval, categorical, ordinal and count data, and allows accurate estimation of missing data is proposed.