Combinatorial dimensions play an important role in the theory of machine...
We consider boosting algorithms under the restriction that the weak lear...
We study the relationship between the notions of differentially private
...
We consider adversarial online learning in a non-convex setting under th...
We investigate the role of the effective (a.k.a. statistical) dimension ...
The goal of subspace learning is to find a k-dimensional subspace of
R^d...
We derive and analyze a new, efficient, pool-based active learning algor...
We address the problem of minimizing a convex function over the space of...