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It is well known that the Lasso can be interpreted as a Bayesian posterior mode estimate with a Laplacian prior.
Equation of state calculations by fast computing machines
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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