Matt Hoffman
4 papers · 2015–2020 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
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Taxonomy Completionist
(13)
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Research topics
Keywords
reinforcement learning
(1)
imitation learning
(1)
variational inference
(1)
bayesian inference
(1)
posterior approximation
(1)
stochastic variational inference
(1)
generative model
(1)
partially observable environment
(1)
poisson distribution
(1)
streaming data
(1)
recurrent neural network
(1)
trust region
(1)
deep rl
(1)
gating mechanism
(1)
saturation regime
(1)
long-term dependency
(1)
gradient propagation
(1)
astronomical image
(1)
galaxy detection
(1)
Papers
Improving the Gating Mechanism of Recurrent Neural Networks
ICML 2020
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
ICLR 2020
A trust-region method for stochastic variational inference with applications to streaming data
ICML 2015
Celeste: Variational inference for a generative model of astronomical images
ICML 2015