5.7k citations · 12k across the 78 of their papers we have counts for
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stat.ME2013★ 10 cited
Understanding predictive information criteria for Bayesian models
Andrew Gelman, Jessica Hwang, Aki Vehtari
We review the Akaike, deviance, and Watanabe-Akaike information criteria from a Bayesian perspective, where the goal is to estimate expected out-of-sample-prediction error using a…
stat.ML2013★ 19 cited
Expectation Propagation for Neural Networks with Sparsity-promoting Priors
Pasi Jylänki, Aapo Nummenmaa, Aki Vehtari
We propose a novel approach for nonlinear regression using a two-layer neural network (NN) model structure with sparsity-favoring hierarchical priors on the network weights. We pre…