Stefano Favaro
12 papers · 2015–2025 · 4 venues · across top CS/AI venues
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Achievements
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Machine Learning
(10)
Optimization & Theory Β· Machine Learning
(8)
Mathematics & Optimization
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
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(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(5)
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(4)
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(2)
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bayesian nonparametrics
(4)
count-min sketch
(4)
frequency estimation
(3)
neural network
(3)
posterior inference
(2)
markov chain monte carlo
(2)
deep neural network
(2)
diffusion process
(2)
conformal inference
(2)
dirichlet process
(2)
confidence interval
(2)
gaussian process
(2)
residual network
(2)
stochastic process
(2)
infinite width
(2)
posterior sampling
(2)
pitman-yor process
(2)
stochastic differential equation
(2)
effective sample size
(1)
statistical estimation
(1)
Papers
Function-Space MCMC for Bayesian Wide Neural Networks
AISTATS 2025
Random measure priors in Bayesian recovery from sketches
JMLR 2024
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries
JMLR 2023
Learning-augmented count-min sketches via Bayesian nonparametrics
JMLR 2023
Conformal Frequency Estimation with Sketched Data
NeurIPS 2022
A Bayesian nonparametric approach to count-min sketch under power-law data streams
AISTATS 2021
Consistent estimation of small masses in feature sampling
JMLR 2021
Doubly infinite residual neural networks: a diffusion process approach
JMLR 2021
Large-width functional asymptotics for deep Gaussian neural networks
ICLR 2021
Infinitely deep neural networks as diffusion processes
AISTATS 2020
Stable behaviour of infinitely wide deep neural networks
AISTATS 2020
A hybrid sampler for Poisson-Kingman mixture models
NeurIPS 2015