We derive a tighter inequality than Cauchy-Schwarz Inequality, leverage it to refine Pearson's

We exemplify our result in two tasks of interest in statistical learning: a) classification for a mixture with sparse means, wherewestudytheefficiencyof `1penaltywithrespectto `2;b)max-marginmulticlass classification, where we characterise the phase transition on the existence ofthemulti-class logistic maximum likelihood estimator forK >2.

Thus, diagonal preconditioning methods remain popular.

Lack of samples per minute or per hour (metrics 1 and 2) are helping to understand 4G networking issues.

The learner's goal is to identify the optimal arm