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All publications by Iain Murray
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MADE: Masked Autoencoder for Distribution Estimation
Mathieu Germain, Karol Gregor, Iain Murray and Hugo Larochelle
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Deep and Tractable Density Estimator
Benigno Uria, Iain Murray and Hugo Larochelle
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


RNADE: The real-valued neural autoregressive density-estimator
Benigno Uria, Iain Murray and Hugo Larochelle
Advances in Neural Information Processing Systems 26, 2013


How biased are maximum entropy models?
Jakob H. Macke, Iain Murray and Peter E. Latham
Advances in Neural Information Processing Systems 24, 2011


The Neural Autoregressive Distribution Estimator
Hugo Larochelle and Iain Murray
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray and Ryan P. Adams
Advances in Neural Information Processing Systems 23, 2010


Elliptical slice sampling
Iain Murray, Ryan P. Adams and David Mackay
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Evaluation methods for topic models
Hanna M. Wallach, Iain Murray, Ruslan Salakhutdinov and David M. Mimno
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
Ryan P. Adams, Iain Murray and David Mackay
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


On the quantitative analysis of deep belief networks
Ruslan Salakhutdinov and Iain Murray
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Characterizing response behavior in multisensory perception with conflicting cues
Rama Natarajan, Iain Murray, Ladan Shams and Richard S. Zemel
Advances in Neural Information Processing Systems 21, 2008


Evaluating probabilities under high-dimensional latent variable models
Iain Murray and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 21, 2008


The Gaussian Process Density Sampler
Iain Murray, David Mackay and Ryan P. Adams
Advances in Neural Information Processing Systems 21, 2008


Nested sampling for Potts models
Iain Murray, David Mackay, Zoubin Ghahramani and John Skilling
Advances in Neural Information Processing Systems 18, 2005