Jon McAuliffe
4 papers · 2015–2019 · 2 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π£ Hot Topic Early Bird
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Cross-Pollinator
(13)
Conferences
ICML (2)
NIPS (2)
Top co-authors
Keywords
variational inference
(2)
bayesian inference
(2)
gaussian process
(1)
variance reduction
(1)
semi-supervised classification
(1)
second-order optimization
(1)
discrete distribution
(1)
generative model
(1)
latent variable model
(1)
poisson distribution
(1)
trust region optimization
(1)
reparameterization trick
(1)
black-box inference
(1)
black-box variational inference
(1)
astronomical image
(1)
galaxy detection
(1)
spectral energy distribution
(1)
photometric redshift
(1)
astronomical datum
(1)
stochastic optimization
(1)
Papers
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
ICML 2019
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
NIPS 2017
A Gaussian Process Model of Quasar Spectral Energy Distributions
NIPS 2015
Celeste: Variational inference for a generative model of astronomical images
ICML 2015