Matthew W Hoffman
4 papers · 2014–2018 · 2 conferences · across top CS/AI conferences
Achievements
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๐บ๏ธ Taxonomy Completionist (19) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ฃ Hot Topic Early Bird ๐ Conference Polyglot (2)
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Cross-Pollinator
(11)
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Renaissance Researcher
(6)
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Trend Setter
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Conference Pioneer
Conferences
NIPS (3)
CORL (1)
Top co-authors
Keywords
deep reinforcement learning
(1)
reinforcement learning
(1)
multi-task learning
(1)
black-box optimization
(1)
variational inference
(1)
policy gradient
(1)
neural network optimization
(1)
distributed computing
(1)
markov chain monte carlo
(1)
global optimization
(1)
importance sampling
(1)
gradient descent
(1)
continuous control
(1)
differential entropy
(1)
probabilistic programming
(1)
bayesian optimization
(1)
black-box function
(1)
information gain
(1)
entropy search
(1)
acquisition function
(1)
Papers
Simple, Distributed, and Accelerated Probabilistic Programming
NIPS 2018
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
CORL 2017
Learning to learn by gradient descent by gradient descent
NIPS 2016
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
NIPS 2014