1 code implementation • 22 May 2023 • Flavio Chierichetti, Mirko Giacchini, Ravi Kumar, Alessandro Panconesi, Andrew Tomkins
In this work we consider the problem of fitting Random Utility Models (RUMs) to user choices.
no code implementations • 17 Apr 2023 • Luca Scofano, Alessio Sampieri, Giuseppe Re, Matteo Almanza, Alessandro Panconesi, Fabio Galasso
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.
no code implementations • NeurIPS 2021 • Matteo Almanza, Flavio Chierichetti, Silvio Lattanzi, Alessandro Panconesi, Giuseppe Re
Clustering is a central topic in unsupervised learning and its online formulation has received a lot of attention in recent years.
no code implementations • 10 Aug 2021 • Flavio Chierichetti, Alessandro Panconesi, Giuseppe Re, Luca Trevisan
We study the reconstruction version of this problem in which one is seeking to reconstruct a latent clustering that has been corrupted by random noise and adversarial modifications.
no code implementations • 31 Mar 2021 • Antonio Norelli, Alessandro Panconesi
We introduce OLIVAW, an AI Othello player adopting the design principles of the famous AlphaGo programs.
1 code implementation • 4 Jun 2019 • Marco Bressan, Stefano Leucci, Alessandro Panconesi
To give an idea of the improvements, in $40$ minutes Motivo counts $7$-nodes motifs on a graph with $65$M nodes and $1. 8$B edges; this is $30$ and $500$ times larger than the state of the art, respectively in terms of nodes and edges.
no code implementations • NeurIPS 2018 • Matteo Almanza, Flavio Chierichetti, Alessandro Panconesi, Andrea Vattani
We present a novel approach for LDA (Latent Dirichlet Allocation) topic reconstruction.
no code implementations • 2 Mar 2016 • Matteo Almanza, Stefano Leucci, Alessandro Panconesi
Recently, due to the widespread diffusion of smart-phones, mobile puzzle games have experienced a huge increase in their popularity.
Computational Complexity