The paper introduces HGT, a batched bandit algorithm for network formation that learns latent types and complementarities via variational inference and updates pairings by maximum-weight matching.
(2013), Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels, The Annals of Statistics, 41, 1922--1943
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Batched Adaptive Network Formation
The paper introduces HGT, a batched bandit algorithm for network formation that learns latent types and complementarities via variational inference and updates pairings by maximum-weight matching.