We study a sparse negative binomial regression (NBR) for count data by showing the non-asymptotic advantages of using the elastic-net estimator. Two types of oracle inequalities are derived for the ...
In some supervised learning settings, the practitioner might have additional information on the features used for prediction. We propose a new method that leverages this additional information for ...
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