PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Iain Murray

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Number of EPrints submitted by this user: 16

Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms
Iain Murray and Zoubin Ghahramani
In: Uncertainty in Artificial Intelligence 2004, 8-11 July 2004, Banff, Canada.

Note on Rejection sampling and exact sampling with the Metropolised Independence Sampler
Iain Murray
(2004) Technical Report. Iain Murray.

A note on the evidence and Bayesian Occam's razor
Iain Murray and Zoubin Ghahramani
(2005) Technical Report. Gatsby Unit Technical Report, London, UK.

A pragmatic Bayesian approach to predictive uncertainty
Iain Murray and Ed Snelson
In: Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment.: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers Lecture Notes in Computer Science , 3944 / 2006 . (2006) Springer , pp. 33-40. ISBN 3 540 33427 0

Nested sampling for Potts models
Iain Murray, David J.C. MacKay, Zoubin Ghahramani and John Skilling
In: NIPS 19, 5-8 Dec 2005, Vancouver, Canada.

MCMC for doubly-intractable distributions
Iain Murray, Zoubin Ghahramani and David J.C. MacKay
In: UAI 2006, 13-16 Jul 2006, Cambridge, MA, USA.

Advances in Markov chain Monte Carlo methods
Iain Murray
(2007) PhD thesis, University College London.

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

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

Elliptical slice sampling
Iain Murray, Ryan Adams and David MacKay
The Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS) 2010.

Gaussian processes and fast matrix-vector multiplies
Iain Murray
In: Numerical Mathematics in Machine Learning workshop at the 26th International Conference on Machine Learning (ICML 2009), 18 June 2009, Montreal, Canada.

Dynamical inference from a kinematic snapshot: the force law in the solar system
Jo Bovy, Iain Murray and David W Hogg
The Astrophysical Journal Volume 711, Number 2, pp. 1157-1167, 2010.

Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
Ryan Adams, George E Dahl and Iain Murray
In: 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), Catalina Island, California(2010).

Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray and Ryan Adams
In: Neural Information Processing Systems (NIPS) 23, Vancouver, Canada(2010).

The Neural Autoregressive Distribution Estimator
Hugo Larochelle and Iain Murray
Journal of Machine Learning Research, Workshop and Conference Papers Volume 15, pp. 29-37, 2011.

How biased are maximum entropy models?
Jakob Macke, Iain Murray and Peter E Latham
Advances in Neural Information Processing Systems Volume 24, pp. 2034-2042, 2011.