Dave Moore

5 papers · 2018–2022 · 4 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)

Conferences

NIPS (2) AISTATS (1) ICLR (1) ICML (1)

Top co-authors

Luca Ambrogioni (2) Emily Fertig (2) Matthew W Hoffman (1) Christopher Suter (1) Gianluigi Silvestri (1) Marcel van Gerven (1) Max Hinne (1) Matthew Hoffman (1) Tongzhou Wang (1) Yi Wu (1)

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