Sfoglia per Autore
Learning-augmented count-min sketches via Bayesian nonparametrics
2023-01-01 Emanuele Dolera; Stefano Favaro; Stefano Peluchetti
More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics
2022-01-01 Lorenzo Masoero; Federico Camerlenghi; Stefano Favaro; Tamara Broderick
Perfect Sampling of the Posterior in the Hierarchical Pitman-Yor Process
2022-01-01 Bacallado, S; Favaro, S; Power, S; Trippa, L
Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation
2022-01-01 Camerlenghi, F; Favaro, S; Masoero, L; Broderick, T
On consistent and rate optimal estimation of the missing mass
2021-01-01 Ayed F.; Battiston M.; Camerlenghi F.; Favaro S.
Optimal disclosure risk assessment
2021-01-01 Camerlenghi F.; Favaro S.; Naulet Z.; Panero F.
Doubly infinite residual neural networks: A diffusion process approach
2021-01-01 Peluchetti S.; Favaro S.
Approximating Predictive Probabilities of Gibbs-Type Priors
2021-01-01 Arbel J.; Favaro S.
On johnson’s “sufficientness” postulates for feature-sampling models
2021-01-01 Camerlenghi F.; Favaro S.
A compound poisson perspective of ewens–pitman sampling model
2021-01-01 Dolera E.; Favaro S.
Bayesian nonparametric disclosure risk assessment
2021-01-01 Favaro, S; Panero, F; Rigon, T
Consistent estimation of small masses in feature sampling
2021-01-01 Ayed, F; Battiston, M; Camerlenghi, F; Favaro, S
Nonparametric bayesian multiarmed bandits for single-cell experiment design
2020-01-01 Camerlenghi F.; Dumitrascu B.; Ferrari F.; Engelhardt B.E.; Favaro S.
A Berry–Esseen theorem for Pitman’s $alpha $-diversity
2020-01-01 Dolera, Emanuele; Favaro, Stefano
Rates of convergence in de Finetti's representation theorem, and Hausdorff moment problem
2020-01-01 Dolera E.; Favaro S.
Bayesian mixed effects models for zero-inflated compositions in microbiome data analysis
2020-01-01 Ren B.; Bacallado S.; Favaro S.; Vatanen T.; Huttenhower C.; Trippa L.
Modeling population structure under hierarchical dirichlet processes
2019-01-01 Elliott L.T.; De Iorio M.; Favaro S.; Adhikari K.; Teh Y.W.
Bayesian nonparametric measures of disclosure risk.
2019-01-01 Federico Camerlenghi, Cinzia Carota, Stefano Favaro
Bayesian nonparametric analysis of Kingman’s coalescent
2019-01-01 Favaro S.; Feng S.; Jenkins P.A.
A good-turing estimator for feature allocation models
2019-01-01 Ayed F.; Battiston M.; Camerlenghi F.; Favaro S.
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