Education
PhD in Statistics, Bocconi University, 2009
Research Interests
Nonparametric Bayes and Empirical Bayes, Statistical Machine Learning, Data Confidentiality and Fairness, Learning-augmented Algorithms, Provable Deep Learning
Other positions
Professor of Statistics, University of Torino
Chief Research Officer - DataLab Algorithms, CCA
Selected Works
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More for less: predicting and maximizing genetic variant discovery via Bayesian nonparametrics, with T. Broderick and L. Masoero, Biometrika, 2021.
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Optimal disclosure risk assessment, with F. Camerlenghi, Z. Naulet and F. Panero, Annals of Statistics, 2021.
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Consistent estimation of small masses in feature sampling, with F. Ayed and M. Battiston, Journal of Machine Learning Research, 2021.
