activity
20112024
most citedOnline Clustering of Bandits

91 citations · 207 across the 22 of their papers we have counts for

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Showing 2013Show all

6 papers · 1 filter

cs.LG2013

A Gang of Bandits

Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella

Multi-armed bandit problems are receiving a great deal of attention because they adequately formalize the exploration-exploitation trade-offs arising in several industrially releva…

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.LG2013★ 1 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…

cs.LG2013

A Linear Time Active Learning Algorithm for Link Classification -- Full Version --

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

We present very efficient active learning algorithms for link classification in signed networks. Our algorithms are motivated by a stochastic model in which edge labels are obtaine…

cs.SI2013★ 1 cited

Political Disaffection: a case study on the Italian Twitter community

Corrado Monti, Alessandro Rozza, Giovanni Zappella +3

In our work we analyse the political disaffection or "the subjective feeling of powerlessness, cynicism, and lack of confidence in the political process, politicians, and democrati…

cs.LG2013★ 41 cited

Active Learning on Trees and Graphs

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

We investigate the problem of active learning on a given tree whose nodes are assigned binary labels in an adversarial way. Inspired by recent results by Guillory and Bilmes, we ch…