Andrew Foong
5 papers · 2020–2023 · 1 venue · across top CS/AI venues
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Hot Topic Early Bird
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Taxonomy Completionist
(15)
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The Questioner
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Research topics
Machine Learning
(5)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core Methods
(2)
Models
(2)
Architectures
(1)
Learning Paradigms · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Types
(1)
Keywords
variational inference
(2)
bayesian neural network
(2)
markov chain monte carlo
(1)
posterior distribution
(1)
maximum likelihood
(1)
generalization error
(1)
mean-field approximation
(1)
prior distribution
(1)
pac-bayes bound
(1)
convolutional neural network
(1)
normalizing flow
(1)
molecular dynamics
(1)
uncertainty estimation
(1)
evidence lower bound
(1)
predictive distribution
(1)
hierarchical prior
(1)
mean-field gaussian
(1)
translation equivariance
(1)
test set bound
(1)
neural process
(1)
Papers
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
NeurIPS 2023
Collapsed Variational Bounds for Bayesian Neural Networks
NeurIPS 2021
How Tight Can PAC-Bayes be in the Small Data Regime?
NeurIPS 2021
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
NeurIPS 2020
On the Expressiveness of Approximate Inference in Bayesian Neural Networks
NeurIPS 2020