Matthew W. Hoffman
6 papers · 2016–2019 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (16) π Renaissance Researcher (7) π Interdisciplinary Bridge π Conference Polyglot (5) π Cross-Pollinator (10)
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Keyword Pioneer
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Hot Topic Early Bird
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Trend Setter
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Conference Pioneer
Conferences
ICML (2)
CORL (1)
ICLR (1)
INTERSPEECH (1)
JMLR (1)
Top co-authors
Keywords
gradient descent
(2)
black-box optimization
(2)
bayesian optimization
(2)
policy gradient
(1)
constrained optimization
(1)
continuous control
(1)
phoneme recognition
(1)
visual speech recognition
(1)
hyperparameter tuning
(1)
information gain
(1)
acquisition function
(1)
deep neural network
(1)
model scaling
(1)
robot manipulator
(1)
video processing
(1)
deep deterministic policy gradient
(1)
learned optimizer
(1)
black-box constraint
(1)
predictive entropy search
(1)
neural network optimizer
(1)
Papers
Large-Scale Visual Speech Recognition
INTERSPEECH 2019
Distributed Distributional Deterministic Policy Gradients
ICLR 2018
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
CORL 2017
Learning to Learn without Gradient Descent by Gradient Descent
ICML 2017
Learned Optimizers that Scale and Generalize
ICML 2017
A General Framework for Constrained Bayesian Optimization using Information-based Search
JMLR 2016