activity
20022023
most citedThe Limits of Popularity-Based Recommendations, and the Role of Social Ties

18 citations · 49 across the 9 of their papers we have counts for

collaborators

10 papers

cs.LG2023

Approximating a RUM from Distributions on k-Slates

Flavio Chierichetti, Mirko Giacchini, Ravi Kumar +2

In this work we consider the problem of fitting Random Utility Models (RUMs) to user choices. Given the winner distributions of the subsets of size of a universe, we obtain a p…

cs.CV2023★ 3 cited

About latent roles in forecasting players in team sports

Luca Scofano, Alessio Sampieri, Giuseppe Re +3

Forecasting players in sports has grown in popularity due to the potential for a tactical advantage and the applicability of such research to multi-agent interaction systems. Team…

cs.DS2021

Spectral Robustness for Correlation Clustering Reconstruction in Semi-Adversarial Models

Flavio Chierichetti, Alessandro Panconesi, Giuseppe Re +1

Correlation Clustering is an important clustering problem with many applications. We study the reconstruction version of this problem in which one is seeking to reconstruct a laten…

cs.LG2021

OLIVAW: Mastering Othello without Human Knowledge, nor a Fortune

Antonio Norelli, Alessandro Panconesi

We introduce OLIVAW, an AI Othello player adopting the design principles of the famous AlphaGo programs. The main motivation behind OLIVAW was to attain exceptional competence in a…

cs.DS2020★ 8 cited

Faster motif counting via succinct color coding and adaptive sampling

Marco Bressan, Stefano Leucci, Alessandro Panconesi

We address the problem of computing the distribution of induced connected subgraphs, aka \emph{graphlets} or \emph{motifs}, in large graphs. The current state-of-the-art algorithms…

cs.DB2019★ 6 cited

Motivo: fast motif counting via succinct color coding and adaptive sampling

Marco Bressan, Stefano Leucci, Alessandro Panconesi

The randomized technique of color coding is behind state-of-the-art algorithms for estimating graph motif counts. Those algorithms, however, are not yet capable of scaling well to…