The fat-shattering dimension characterizes the uniform convergence prope...
We study exact active learning of binary and multiclass classifiers with...
We analyze the cumulative regret of the Dyadic Search algorithm of Bacho...
In this work we study high probability bounds for stochastic subgradient...
This paper studies a natural generalization of the problem of minimizing...
We study an active cluster recovery problem where, given a set of n poin...
We introduce and analyze MT-OMD, a multitask generalization of Online Mi...
We investigate the problem of exact cluster recovery using oracle querie...
Designing learning algorithms that are resistant to perturbations of the...
We study the problem of recovering distorted clusters in the semi-superv...
We investigate learning algorithms that use similarity queries to
approx...
Many machine learning systems rely on data collected in the wild from
un...
Machine learning has become an important component for many systems and
...
Attack graphs provide compact representations of the attack paths that a...