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Structured Sparse Modelling with Hierarchical GP

04/27/2017

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by Danil Kuzin, et al.

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In this paper a new Bayesian model for sparse linear regression with a spatio-temporal structure is proposed. It incorporates the structural assumptions based on a hierarchical Gaussian process prior for spike and slab coefficients. We design an inference algorithm based on Expectation Propagation and evaluate the model over the real data.

Danil Kuzin
10 publications
Olga Isupova
12 publications
Lyudmila Mihaylova
17 publications

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