Stefan Webb
5 papers · 2017–2021 · 5 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(5)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
Conferences
ICLR (1)
ICML (1)
JMLR (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
variational inference
(2)
bayesian learning
(1)
graph learning
(1)
distributed learning
(1)
natural gradient
(1)
diffusion process
(1)
expectation propagation
(1)
posterior approximation
(1)
amortized inference
(1)
generative model
(1)
graphical model
(1)
partial differential equation
(1)
generalization performance
(1)
probabilistic robustness
(1)
graph benchmark
(1)
adversarial risk
(1)
graph neural network
(1)
neural network classification
(1)
neural diffusion
(1)
statistically robust risk
(1)
Papers
GRAND: Graph Neural Diffusion
ICML 2021
Statistically robust neural network classification
UAI 2021
A Statistical Approach to Assessing Neural Network Robustness
ICLR 2019
Faithful Inversion of Generative Models for Effective Amortized Inference
NIPS 2018
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server
JMLR 2017