activity
20112017
most citedActive Learning on Trees and Graphs

41 citations · 83 across the 8 of their papers we have counts for

collaborators

10 papers

cs.LG2017

On Pairwise Clustering with Side Information

Stephen Pasteris, Fabio Vitale, Claudio Gentile +1

Pairwise clustering, in general, partitions a set of items via a known similarity function. In our treatment, clustering is modeled as a transductive prediction problem. Thus rathe…

cs.LG2017

Boltzmann Exploration Done Right

Nicolò Cesa-Bianchi, Claudio Gentile, Gábor Lugosi +1

Boltzmann exploration is a classic strategy for sequential decision-making under uncertainty, and is one of the most standard tools in Reinforcement Learning (RL). Despite its wide…

stat.ML2016

Graph Clustering Bandits for Recommendation

Shuai Li, Claudio Gentile, Alexandros Karatzoglou

We investigate an efficient context-dependent clustering technique for recommender systems based on exploration-exploitation strategies through multi-armed bandits over multiple us…

cs.LG201311 cited

Online Similarity Prediction of Networked Data from Known and Unknown Graphs

Claudio Gentile, Mark Herbster, Stephen Pasteris

We consider online similarity prediction problems over networked data. We begin by relating this task to the more standard class prediction problem, showing that, given an arbitrar…

cs.LG2013

See the Tree Through the Lines: The Shazoo Algorithm -- Full Version --

Fabio Vitale, Nicolo Cesa-Bianchi, Claudio Gentile +1

Predicting the nodes of a given graph is a fascinating theoretical problem with applications in several domains. Since graph sparsification via spanning trees retains enough inform…

cs.LG20131 cited

A Correlation Clustering Approach to Link Classification in Signed Networks -- Full Version --

Nicolo Cesa-Bianchi, Claudio Gentile, Fabio Vitale +1

Motivated by social balance theory, we develop a theory of link classification in signed networks using the correlation clustering index as measure of label regularity. We derive l…