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09/12/2019
Modular Meta-Learning with Shrinkage
Most gradient-based approaches to meta-learning do not explicitly accoun...
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07/13/2018
Large-Scale Visual Speech Recognition
This work presents a scalable solution to open-vocabulary visual speech ...
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04/23/2018
Distributed Distributional Deterministic Policy Gradients
This work adopts the very successful distributional perspective on reinf...
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07/11/2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
This paper introduces the Intentional Unintentional (IU) agent. This age...
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03/14/2017
Learned Optimizers that Scale and Generalize
Learning to learn has emerged as an important direction for achieving ar...
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11/11/2016
Learning to Learn without Gradient Descent by Gradient Descent
We learn recurrent neural network optimizers trained on simple synthetic...
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06/14/2016
Learning to learn by gradient descent by gradient descent
The move from hand-designed features to learned features in machine lear...
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11/30/2015
A General Framework for Constrained Bayesian Optimization using Information-based Search
We present an information-theoretic framework for solving global black-b...
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02/18/2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
Unknown constraints arise in many types of expensive black-box optimizat...
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03/27/2013