5 citations · 11 across the 4 of their papers we have counts for
4 papers
A randomized algorithm to solve reduced rank operator regression
Giacomo Turri, Vladimir Kostic, Pietro Novelli +1
We present and analyze an algorithm designed for addressing vector-valued regression problems involving possibly infinite-dimensional input and output spaces. The algorithm is a ra…
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
Giacomo Meanti, Antoine Chatalic, Vladimir R. Kostic +3
The theory of Koopman operators allows to deploy non-parametric machine learning algorithms to predict and analyze complex dynamical systems. Estimators such as principal component…
Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm
Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil +1
This work studies minimization problems with zero-order noisy oracle information under the assumption that the objective function is highly smooth and possibly satisfies additional…
New Perspectives on k-Support and Cluster Norms
Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos
The -support norm is a regularizer which has been successfully applied to sparse vector prediction problems. We show that it belongs to a general class of norms which can be for…