Learning Diffusion using Hyperparameters

ICML 2018 Dimitris KalimerisYaron SingerKarthik SubbianUdi Weinsberg

In this paper we advocate for a hyperparametric approach to learn diffusion in the independent cascade (IC) model. The sample complexity of this model is a function of the number of edges in the network and consequently learning becomes infeasible when the network is large... (read more)

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