A Variational Algorithm for Bayesian Variable Selection

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Peter Bühlmann and Sara van de Geer · 2011

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Random lasso

Sijian Wang, Bin Nan, Saharon Rosset, and Ji Zhu · 2011

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Scalable variational inference for bayesian variable selection in regression, and its accuracy in genetic association studies

Peter Carbonetto and Matthew Stephens · 2012

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Estimation in high-dimensional linear models with deterministic design matrices

Jun Shao and Xinwei Deng · 2012

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Bayesian variable selection with shrinking and diffusing priors

Naveen Naidu Narisetty and Xuming He · 2014

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EMVS: The EM approach to Bayesian variable selection

Veronika Ročková and Edward I George · 2014