Ali Foroughi Pour

Robust feature selection for block covariance Bayesian models

Recent work proposes new algorithms for feature selection based on a Bayesian hierarchical model that places priors on both the identity of all features, and the identity-conditioned feature-label distribution. Given training data, Bayesian inference can be used to predict the feature identities. Wh…