Favaro, Stefano

15 publications

AISTATS 2025 Function-Space MCMC for Bayesian Wide Neural Networks Lucia Pezzetti, Stefano Favaro, Stefano Peluchetti

TMLR 2024 Large-Width Asymptotics and Training Dynamics of $\alpha$-Stable ReLU Neural Networks Stefano Favaro, Sandra Fortini, Stefano Peluchetti

NeurIPSW 2024 Preconditioned Crank-Nicolson Algorithms for Wide Bayesian Neural Networks Lucia Pezzetti, Stefano Favaro, Stefano Peluchetti

JMLR 2024 Random Measure Priors in Bayesian Recovery from Sketches Mario Beraha, Stefano Favaro, Matteo Sesia

JMLR 2023 Conformal Frequency Estimation Using Discrete Sketched Data with Coverage for Distinct Queries Matteo Sesia, Stefano Favaro, Edgar Dobriban

JMLR 2023 Learning-Augmented Count-Min Sketches via Bayesian Nonparametrics Emanuele Dolera, Stefano Favaro, Stefano Peluchetti

NeurIPS 2022 Conformal Frequency Estimation with Sketched Data Matteo Sesia, Stefano Favaro

TMLR 2022 Infinitely Wide Limits for Deep Stable Neural Networks: Sub-Linear, Linear and Super-Linear Activation Functions Alberto Bordino, Stefano Favaro, Sandra Fortini

AISTATS 2021 A Bayesian Nonparametric Approach to Count-Min Sketch Under Power-Law Data Streams Emanuele Dolera, Stefano Favaro, Stefano Peluchetti

JMLR 2021 Consistent Estimation of Small Masses in Feature Sampling Fadhel Ayed, Marco Battiston, Federico Camerlenghi, Stefano Favaro

JMLR 2021 Doubly Infinite Residual Neural Networks: A Diffusion Process Approach Stefano Peluchetti, Stefano Favaro

ICLR 2021 Large-Width Functional Asymptotics for Deep Gaussian Neural Networks Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti

AISTATS 2020 Infinitely Deep Neural Networks as Diffusion Processes Stefano Peluchetti, Stefano Favaro

AISTATS 2020 Stable Behaviour of Infinitely Wide Deep Neural Networks Stefano Peluchetti, Stefano Favaro, Sandra Fortini

NeurIPS 2015 A Hybrid Sampler for Poisson-Kingman Mixture Models Maria Lomeli, Stefano Favaro, Yee Whye Teh