Matthew W Hoffman
4 papers · 2014–2018 · 2 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (18) 🧭 Keyword Pioneer
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Trend Setter
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory
(3)
Deep Learning
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Robotics
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Capabilities
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
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
NeurIPS 2018
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
CoRL 2017
Learning to learn by gradient descent by gradient descent
NeurIPS 2016
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
NeurIPS 2014