Simultaneous Missing Value Imputation and Structure Learning with Groups Pablo Morales-Alvarez University of Granada Wenbo Gong Microsoft Research Angus Lamb

Neural Information Processing Systems 

For many applications, variables in the data can be gathered into semantically meaningful groups, where useful insights are at group level. For example, in finance, one may be interested in how a financial situation influences different industries (i.e.