Feature Selection via Mutual Information: New Theoretical Insights. - Mario Beraha; Alberto Maria Metelli; Matteo Papini; Andrea Tirinzoni; Marcello Restelli (IJCNN, 2019)

Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection. - Matteo Pegoraro; Mario Beraha (AAAI, 2021)

Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric. - Matteo Pegoraro; Mario Beraha (J. Mach. Learn. Res., 2022)

MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes. - Mario Beraha; Raffaele Argiento; Jesper Møller; Alessandra Guglielmi (J. Comput. Graph. Stat., 2022)

Frequency and cardinality recovery from sketched data: a novel approach bridging Bayesian and frequentist views. - Mario Beraha; Stefano Favaro; Matteo Sesia (CoRR, 2023)

A Nonparametric Bayes Approach to Online Activity Prediction. - Mario Beraha; Lorenzo Masoero; Stefano Favaro; Thomas S. Richardson 001 (CoRR, 2024)

Improved prediction of future user activity in online A/B testing. - Lorenzo Masoero; Mario Beraha; Thomas S. Richardson 001; Stefano Favaro (CoRR, 2024)

Random measure priors in Bayesian recovery from sketches. - Mario Beraha; Stefano Favaro; Matteo Sesia (J. Mach. Learn. Res., 2024)

Wasserstein principal component analysis for circular measures. - Mario Beraha; Matteo Pegoraro (Stat. Comput., 2024)

BayesMix: Bayesian Mixture Models in C++. - Mario Beraha; Bruno Guindani; Matteo Gianella; Alessandra Guglielmi (J. Stat. Softw., 2025)