About latent roles in forecasting players in team sports

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.

Online Facility Location with Multiple Advice

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.

Clustering

A Reduction for Efficient LDA Topic Reconstruction

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.

Trainyard is NP-Hard

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