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On the Exponentially Weighted Aggregate with the Laplace Prior
These inequalities show that if the temperature parameter is small, the EWA with the Laplace prior satisfies the same type of oracle inequality as the lasso estimator does, as long as the quality of estimation is measured by the prediction loss.
On the prediction loss of the lasso in the partially labeled setting
In this paper we revisit the risk bounds of the lasso estimator in the context of transductive and semi-supervised learning.
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