Stefano Favaro
12 papers · 2015–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (10) 🐝 Cross-Pollinator (14)
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(10)
🐝
Cross-Pollinator
(14)
🏆
Keyword Champion
(4)
💎
Century Club
(12)
🔥
Unstoppable
(6)
Conferences
JMLR (5)
AISTATS (4)
NIPS (2)
ICLR (1)
Top co-authors
Research topics
Keywords
bayesian nonparametrics
(4)
count-min sketch
(4)
frequency estimation
(3)
stochastic process
(2)
posterior inference
(2)
stochastic differential equation
(2)
residual network
(2)
diffusion process
(2)
confidence interval
(2)
infinite width
(2)
conformal inference
(2)
neural network
(2)
pitman-yor process
(2)
dirichlet process
(2)
deep neural network
(2)
mixture model
(1)
data stream
(1)
power-law distribution
(1)
gaussian process
(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
Learning-augmented count-min sketches via Bayesian nonparametrics
JMLR 2023
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries
JMLR 2023
Conformal Frequency Estimation with Sketched Data
NIPS 2022
Large-width functional asymptotics for deep Gaussian neural networks
ICLR 2021
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
Stable behaviour of infinitely wide deep neural networks
AISTATS 2020
Infinitely deep neural networks as diffusion processes
AISTATS 2020
A hybrid sampler for Poisson-Kingman mixture models
NIPS 2015