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ORCIDMario Beraha
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Journal Articles
- 2024
[j3]Mario Beraha, Stefano Favaro, Matteo Sesia:
Random measure priors in Bayesian recovery from sketches. J. Mach. Learn. Res. 25: 249:1-249:53 (2024)- 2022
- [j2]Mario Beraha
, Raffaele Argiento, Jesper Møller, Alessandra Guglielmi:
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes. J. Comput. Graph. Stat. 31(1): 422-435 (2022) - [j1]Matteo Pegoraro, Mario Beraha:
Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric. J. Mach. Learn. Res. 23: 37:1-37:59 (2022)
Conference and Workshop Papers
- 2021
- [c2]Matteo Pegoraro, Mario Beraha:
Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection. AAAI 2021: 9342-9349 - 2019
- [c1]Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli:
Feature Selection via Mutual Information: New Theoretical Insights. IJCNN 2019: 1-9
Informal and Other Publications
- 2024
- [i4]Mario Beraha, Lorenzo Masoero, Stefano Favaro, Thomas S. Richardson:
A Nonparametric Bayes Approach to Online Activity Prediction. CoRR abs/2401.14722 (2024) - [i3]Lorenzo Masoero, Mario Beraha, Thomas S. Richardson, Stefano Favaro:
Improved prediction of future user activity in online A/B testing. CoRR abs/2402.03231 (2024) - 2023
- [i2]Mario Beraha, Stefano Favaro, Matteo Sesia:
Frequency and cardinality recovery from sketched data: a novel approach bridging Bayesian and frequentist views. CoRR abs/2309.15408 (2023) - 2019
- [i1]Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli:
Feature Selection via Mutual Information: New Theoretical Insights. CoRR abs/1907.07384 (2019)
Coauthor Index
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