Matthew W. Hoffman

According to our database1, Matthew W. Hoffman authored at least 23 papers between 2005 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
Modular Meta-Learning with Shrinkage.
CoRR, 2019

2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL.
CoRR, 2018

Large-Scale Visual Speech Recognition.
CoRR, 2018

Distributed Distributional Deterministic Policy Gradients.
CoRR, 2018

Distributed Distributional Deterministic Policy Gradients.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Learned Optimizers that Scale and Generalize.
CoRR, 2017

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously.
CoRR, 2017

Learned Optimizers that Scale and Generalize.
Proceedings of the 34th International Conference on Machine Learning, 2017

Learning to Learn without Gradient Descent by Gradient Descent.
Proceedings of the 34th International Conference on Machine Learning, 2017

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
A General Framework for Constrained Bayesian Optimization using Information-based Search.
J. Mach. Learn. Res., 2016

Learning to Learn for Global Optimization of Black Box Functions.
CoRR, 2016

Learning to learn by gradient descent by gradient descent.
CoRR, 2016

Learning to learn by gradient descent by gradient descent.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
An Entropy Search Portfolio for Bayesian Optimization.
CoRR, 2014

Predictive Entropy Search for Efficient Global Optimization of Black-box Functions.
CoRR, 2014

Predictive Entropy Search for Efficient Global Optimization of Black-box Functions.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Best arm identification via Bayesian gap-based exploration
CoRR, 2013

2011
Finite-Sample Analysis of Lasso-TD.
Proceedings of the 28th International Conference on Machine Learning, 2011

Regularized Least Squares Temporal Difference Learning with Nested ℓ2 and ℓ1 Penalization.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

2006
A probabilistic model of gaze imitation and shared attention.
Neural Networks, 2006

2005
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005


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