Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning

NeurIPS 2011 Michalis K. TitsiasMiguel Lázaro-Gredilla

We introduce a variational Bayesian inference algorithm which can be widely applied to sparse linear models. The algorithm is based on the spike and slab prior which, from a Bayesian perspective, is the golden standard for sparse inference... (read more)

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