Edward Meeds

According to our database1, Edward Meeds authored at least 14 papers between 2005 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks.
CoRR, 2018

2017
Soft Weight-Sharing for Neural Network Compression.
CoRR, 2017

2015
MLitB: machine learning in the browser.
PeerJ Computer Science, 2015

Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference.
CoRR, 2015

Hamiltonian ABC.
CoRR, 2015

POPE: post optimization posterior evaluation of likelihood free models.
BMC Bioinformatics, 2015

Hamiltonian ABC.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation.
CoRR, 2014

MLitB: Machine Learning in the Browser.
CoRR, 2014

GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

2008
Learning stick-figure models using nonparametric Bayesian priors over trees.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2006
Modeling Dyadic Data with Binary Latent Factors.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
An Alternative Infinite Mixture Of Gaussian Process Experts.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005


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