Matthew W. Hoffman
6 papers · 2016–2019 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer
🚀
Conference Pioneer
🌈
Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(4)
Deep Learning
(3)
Reinforcement Learning
(2)
Architectures
(2)
Learning Types
(2)
Methods
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Robotics
(1)
Speech & Audio
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Capabilities
(1)
Keywords
continuous control
(2)
bayesian optimization
(2)
black-box optimization
(2)
gradient descent
(2)
distributional reinforcement learning
(1)
constrained optimization
(1)
off-policy learning
(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)
Papers
Large-Scale Visual Speech Recognition
Interspeech 2019
Distributed Distributional Deterministic Policy Gradients
ICLR 2018
Learned Optimizers that Scale and Generalize
ICML 2017
Learning to Learn without Gradient Descent by Gradient Descent
ICML 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
CoRL 2017
A General Framework for Constrained Bayesian Optimization using Information-based Search
JMLR 2016