Stefano Favaro
Università degli Studi di Torino
H-index: 19
Europe-Italy
Top articles of Stefano Favaro
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A martingale approach to Gaussian fluctuations and laws of iterated logarithm for Ewens-Pitman model | arXiv preprint arXiv:2404.07694 | Bernard Bercu Stefano Favaro | 2024/4/11 |
Supplementary Materials A Bayesian Nonparametric Approach to Species Sampling Problems with Ordering | Cecilia Balocchi Federico Camerlenghi Stefano Favaro | 2024 | |
Strong posterior contraction rates via Wasserstein dynamics | Probability Theory and Related Fields | Emanuele Dolera Stefano Favaro Edoardo Mainini | 2024/2/23 |
A Bayesian Nonparametric Approach to Species Sampling Problems with Ordering | Bayesian Analysis | Cecilia Balocchi Federico Camerlenghi Stefano Favaro | 2024/1 |
Improved prediction of future user activity in online A/B testing | arXiv preprint arXiv:2402.03231 | Lorenzo Masoero Mario Beraha Thomas Richardson Stefano Favaro | 2024/2/5 |
A Nonparametric Bayes Approach to Online Activity Prediction | arXiv preprint arXiv:2401.14722 | Mario Beraha Lorenzo Masoero Stefano Favaro Thomas S Richardson | 2024/1/26 |
Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation | Journal of the American Statistical Association | Federico Camerlenghi Stefano Favaro Lorenzo Masoero Tamara Broderick | 2024/1/2 |
Bayesian nonparametric mixture modeling for temporal dynamics of gender stereotypes | The Annals of Applied Statistics | Maria De Iorio Stefano Favaro Alessandra Guglielmi Lifeng Ye | 2023/9 |
Transform-scaled process priors for trait allocations in Bayesian nonparametrics | arXiv preprint arXiv:2303.17844 | Mario Beraha Stefano Favaro | 2023/3/31 |
Deep stable neural networks: large-width asymptotics and convergence rates | Bernoulli | Stefano Favaro Sandra Fortini Stefano Peluchetti | 2023/8 |
Random measure priors in Bayesian frequency recovery from sketches | arXiv preprint arXiv:2303.15029 | Mario Beraha Stefano Favaro | 2023/3/27 |
Quantitative clts in deep neural networks | arXiv preprint arXiv:2307.06092 | Stefano Favaro Boris Hanin Domenico Marinucci Ivan Nourdin Giovanni Peccati | 2023/7/12 |
Near-optimal estimation of the unseen under regularly varying tail populations | Bernoulli | Stefano Favaro Zacharie Naulet | 2023/11 |
Optimal estimation of high-order missing masses, and the rare-type match problem | arXiv preprint arXiv:2306.14998 | Stefano Favaro Zacharie Naulet | 2023/6/26 |
Conformal frequency estimation using discrete sketched data with coverage for distinct queries | Journal of Machine Learning Research | Matteo Sesia Stefano Favaro Edgar Dobriban | 2023 |
MCMC for Bayesian nonparametric mixture modeling under differential privacy | arXiv preprint arXiv:2310.09818 | Mario Beraha Stefano Favaro Vinayak Rao | 2023/10/15 |
Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities | arXiv preprint arXiv:2304.04010 | Alberto Bordino Stefano Favaro Sandra Fortini | 2023/4/8 |
Learning-augmented count-min sketches via Bayesian nonparametrics | Journal of Machine Learning Research | Emanuele Dolera Stefano Favaro Stefano Peluchetti | 2023 |
Frequency and cardinality recovery from sketched data: a novel approach bridging Bayesian and frequentist views | arXiv preprint arXiv:2309.15408 | Mario Beraha Stefano Favaro Matteo Sesia | 2023/9/27 |
Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions | arXiv preprint arXiv:2304.04008 | Alberto Bordino Stefano Favaro Sandra Fortini | 2023/4/8 |
Co-Authors
