In this paper we consider a class of parallel machine scheduling problems and their associated set-partitioning formulations. We show that the tightness of the linear programming relaxation of these ...
Parallel Variational Bayes for Large Datasets With an Application to Generalized Linear Mixed Models
The article develops a hybrid variational Bayes (VB) algorithm that combines the mean-field and stochastic linear regression fixed-form VB methods. The new estimation algorithm can be used to ...
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