Charles Blundell

According to our database1, Charles Blundell authored at least 38 papers between 2010 and 2018.

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Bibliography

2018
Fast deep reinforcement learning using online adjustments from the past.
CoRR, 2018

Been There, Done That: Meta-Learning with Episodic Recall.
CoRR, 2018

Pushing the bounds of dropout.
CoRR, 2018

Memory-based Parameter Adaptation.
CoRR, 2018

Been There, Done That: Meta-Learning with Episodic Recall.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server.
Journal of Machine Learning Research, 2017

Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees.
CoRR, 2017

Neural Episodic Control.
CoRR, 2017

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning.
CoRR, 2017

Bayesian Recurrent Neural Networks.
CoRR, 2017

Noisy Networks for Exploration.
CoRR, 2017

PathNet: Evolution Channels Gradient Descent in Super Neural Networks.
CoRR, 2017

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Neural Episodic Control.
Proceedings of the 34th International Conference on Machine Learning, 2017

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to reinforcement learn.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Learning to reinforcement learn.
CoRR, 2016

Matching Networks for One Shot Learning.
CoRR, 2016

Deep Exploration via Bootstrapped DQN.
CoRR, 2016

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles.
CoRR, 2016

Early Visual Concept Learning with Unsupervised Deep Learning.
CoRR, 2016

Model-Free Episodic Control.
CoRR, 2016

Matching Networks for One Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Exploration via Bootstrapped DQN.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server.
CoRR, 2015

Weight Uncertainty in Neural Networks.
CoRR, 2015

Weight Uncertainty in Neural Network.
Proceedings of the 32nd International Conference on Machine Learning, 2015

The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
The Bayesian Echo Chamber: Modeling Influence in Conversations.
CoRR, 2014

Deep AutoRegressive Networks.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Bayesian Hierarchical Community Discovery.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Bayesian Rose Trees
CoRR, 2012

Modelling Reciprocating Relationships with Hawkes Processes.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Look-Ahead Monte Carlo with People.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Mixed Cumulative Distribution Networks.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Modelling Genetic Variations using Fragmentation-Coagulation Processes.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Mixed Cumulative Distribution Networks
CoRR, 2010

Bayesian Rose Trees.
Proceedings of the UAI 2010, 2010


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