Dave Moore
5 papers · 2018–2022 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
🌍
Conference Polyglot
(4)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(14)
Conferences
NIPS (2)
AISTATS (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
probabilistic programming
(3)
markov chain monte carlo
(3)
bayesian inference
(2)
variational inference
(2)
gibbs sampling
(1)
stochastic variational inference
(1)
tensor processing unit
(1)
variational auto-encoder
(1)
neural network
(1)
structured variational family
(1)
distributed computing
(1)
bayesian model
(1)
importance sampling
(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
Simple, Distributed, and Accelerated Probabilistic Programming
NIPS 2018
Meta-Learning MCMC Proposals
NIPS 2018