Stefano Favaro

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Bayesian Nonparametric

Diffusion Processes

Top Venues

J. Mach. Learn. Res.

Publications

Mario Beraha, Lorenzo Masoero, Stefano Favaro, Thomas S. Richardson
A Nonparametric Bayes Approach to Online Activity Prediction. CoRR (2024)
Lorenzo Masoero, Mario Beraha, Thomas S. Richardson, Stefano Favaro
Improved prediction of future user activity in online A/B testing. CoRR (2024)
Mario Beraha, Stefano Favaro, Matteo Sesia
Frequency and cardinality recovery from sketched data: a novel approach bridging Bayesian and frequentist views. CoRR (2023)
Stefano Favaro, Boris Hanin, Domenico Marinucci, Ivan Nourdin, Giovanni Peccati
Quantitative CLTs in Deep Neural Networks. CoRR (2023)
Emanuele Dolera, Stefano Favaro, Stefano Peluchetti
Learning-augmented count-min sketches via Bayesian nonparametrics. J. Mach. Learn. Res. 24 (2023)
Alberto Bordino, Stefano Favaro, Sandra Fortini
Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities. CoRR (2023)
Alberto Bordino, Stefano Favaro, Sandra Fortini
Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions. CoRR (2023)
Alberto Bordino, Stefano Favaro, Sandra Fortini
Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions. Trans. Mach. Learn. Res. 2022 (2022)
Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Neural tangent kernel analysis of shallow α-Stable ReLU neural networks. CoRR (2022)
Matteo Sesia, Stefano Favaro
Conformal Frequency Estimation with Sketched Data. NeurIPS (2022)
Emanuele Dolera, Stefano Favaro, Stefano Peluchetti
Learning-augmented count-min sketches via Bayesian nonparametrics. CoRR (2021)
Stefano Peluchetti, Stefano Favaro
Doubly infinite residual neural networks: a diffusion process approach. J. Mach. Learn. Res. 22 (2021)
Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Infinite-channel deep stable convolutional neural networks. CoRR (2021)
Fadhel Ayed, Marco Battiston, Federico Camerlenghi, Stefano Favaro
Consistent estimation of small masses in feature sampling. J. Mach. Learn. Res. 22 (2021)
Emanuele Dolera, Stefano Favaro, Stefano Peluchetti
A Bayesian nonparametric approach to count-min sketch under power-law data streams. CoRR (2021)
Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Large-width functional asymptotics for deep Gaussian neural networks. ICLR (2021)
Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Deep Stable neural networks: large-width asymptotics and convergence rates. CoRR (2021)
Emanuele Dolera, Stefano Favaro, Stefano Peluchetti
A Bayesian nonparametric approach to count-min sketch under power-law data streams. AISTATS (2021)
Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Large-width functional asymptotics for deep Gaussian neural networks. CoRR (2021)
Stefano Peluchetti, Stefano Favaro
Infinitely deep neural networks as diffusion processes. AISTATS (2020)
Stefano Peluchetti, Stefano Favaro, Sandra Fortini
Stable behaviour of infinitely wide deep neural networks. AISTATS (2020)
Stefano Peluchetti, Stefano Favaro
Doubly infinite residual networks: a diffusion process approach. CoRR (2020)
Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Stable behaviour of infinitely wide deep neural networks. CoRR (2020)
Stefano Peluchetti, Stefano Favaro
Neural Stochastic Differential Equations. CoRR (2019)
Pierpaolo De Blasi, Stefano Favaro, Antonio Lijoi, Ramsés H. Mena, Igor Prünster, Matteo Ruggiero
Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process? IEEE Trans. Pattern Anal. Mach. Intell. 37 (2) (2015)
Maria Lomeli, Stefano Favaro, Yee Whye Teh
A hybrid sampler for Poisson-Kingman mixture models. NIPS (2015)
Stefano Favaro, Maria Lomeli, Yee Whye Teh
On a class of σ-stable Poisson-Kingman models and an effective marginalized sampler. Stat. Comput. 25 (1) (2015)
Oriana Cesari, Stefano Favaro, Bernardo Nipoti
Posterior analysis of rare variants in Gibbs-type species sampling models. J. Multivar. Anal. 131 (2014)
Stefano Favaro, Bernardo Nipoti
Discussion of "On simulation and properties of the stable law" by L. Devroye and L. James. Stat. Methods Appl. 23 (3) (2014)