According to our database1, Edward Meeds authored at least 9 papers between 2005 and 2017.
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Soft Weight-Sharing for Neural Network Compression.
Proceedings of the 5th International Conference on Learning Representations, 2017
MLitB: machine learning in the browser.
PeerJ Computer Science, 2015
POPE: post optimization posterior evaluation of likelihood free models.
BMC Bioinformatics, 2015
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
GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
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
Modeling Dyadic Data with Binary Latent Factors.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
An Alternative Infinite Mixture Of Gaussian Process Experts.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005