Dave Moore
5 papers · 2018–2022 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Keywords
probabilistic programming
(3)
variational inference
(3)
markov chain monte carlo
(3)
bayesian inference
(2)
importance sampling
(1)
gibbs sampling
(1)
stochastic variational inference
(1)
generative model
(1)
normalizing flow
(1)
variational autoencoder
(1)
tensor processing unit
(1)
neural network
(1)
probabilistic modeling
(1)
structured variational family
(1)
density estimation
(1)
distributed computing
(1)
bayesian model
(1)
Papers
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
ICLR 2022
Automatic structured variational inference
AISTATS 2021
Automatic Reparameterisation of Probabilistic Programs
ICML 2020
Meta-Learning MCMC Proposals
NeurIPS 2018
Simple, Distributed, and Accelerated Probabilistic Programming
NeurIPS 2018