PASCAL Researchers

A Graphical Model for Protein Secondary Structure Prediction Wei Chu, Zoubin Ghahramani and David L Wild Conference or Workshop Item (2004)

A kernel method for unsupervised structured network inference Christoph Lippert, Oliver Stegle, Zoubin Ghahramani and Karsten Borgwardt Article Item not available online. (03 November 2008)

A note on the evidence and Bayesian Occam's razor Iain Murray and Zoubin Ghahramani Monograph (August 2005)

A Probabilistic Model for Online Document Clustering with Application to Novelty Detection Jian Zhang, Zoubin Ghahramani and Yiming Yang Conference or Workshop Item (2005)

A robust Bayesian two-sample test for detecting intervals of differential gene expression Oliver Stegle, Katherine J. Denby, Emma J. Cooke, David L. Wild, Zoubin Ghahramani and Karsten Borgwardt Article Item availablity restricted. (01 September 2009)

A robust bayesian two-sample test for detecting intervals of differential gene expression in microarray time series Oliver Stegle, K Denby, E. J. Cooke, David L. Wild, Zoubin Ghahramani and Karsten Borgwardt Article (2010)

A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series Oliver Stegle, Katherine Denby, Zoubin Ghahramani, David Wild and Karsten Borgwardt Article (01 October 2008)

Accelerated Gibbs sampling for the Indian buffet process Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (2009)

Accelerated Gibbs Sampling for the Indian Buffet Process Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (2009)

Active learning for constrained dirichlet process mixture models A Vlachos, Zoubin Ghahramani and T Briscoe Conference or Workshop Item (2010)

Active Learning of Model Evidence Using Bayesian Quadrature Michael Osborne, David Duvenaud, Roman Garnett, Stephen Roberts, Carl Edward Rasmussen and Zoubin Ghahramani Conference or Workshop Item Item not available online. (2012)

Approximate inference for the loss-calibrated Bayesian Simon Lacoste-Julien, Ferenc Huszar and Zoubin Ghahramani Conference or Workshop Item (April 2011)

Archipelago: Nonparametric Bayesian Semi-Supervised Learning Ryan Adams and Zoubin Ghahramani Article (2009)

Archipelago: nonparametric bayesian semi-supervised learning Ryan Adams and Zoubin Ghahramani Conference or Workshop Item (2009)

Bayes rule in perception, action and cognition Daniel Wolpert and Zoubin Ghahramani Book Section (2005)

Bayesian Classifier Combination Zoubin Ghahramani and Hyun-Chul Kim Monograph (2003)

Bayesian Exponential Family PCA Shakir Mohamed, Katherine Heller and Zoubin Ghahramani Conference or Workshop Item (2009)

Bayesian Hierarchical Clustering Katherine Heller and Zoubin Ghahramani Conference or Workshop Item (August 2005)

Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms Iain Murray and Zoubin Ghahramani Conference or Workshop Item (2004)

Bayesian nonparametric latent feature models Zoubin Ghahramani, T L Griffiths and Peter Sollich Book Section (2007)

Bayesian nonparametrics and the probabilistic approach to modelling Zoubin Ghahramani Article (13 February 2013)

Bayesian Sets Zoubin Ghahramani and Katherine Heller Conference or Workshop Item (December 2005)

Bayesian two-sample test for detecting intervals of diﬀerential gene expression in microarray time series Oliver Stegle, K Denby, E J Cooke, D L Wild, Zoubin Ghahramani and Karsten Borgwardt Article (08 April 2010)

Beam Sampling for the Infinite Hidden Markov Model Jurgen van Gael, Yunus Saatci, Yee Whye Teh and Zoubin Ghahramani Article (2008)

Bilinear Dynamical Systems Will Penny, Zoubin Ghahramani and Karl Friston Article (2005)

Biomarker discovery in microarray gene expression data with Gaussian processes Wei Chu, Zoubin Ghahramani, F. Falciani and D.L. Wild Article (2005)

Compact approximations to Bayesian predictive distributions Ed Snelson and Zoubin Ghahramani Conference or Workshop Item (2005)

Continuous Relaxations for Discrete Hamiltonian Monte Carlo Yichuan Zhang, Charles Sutton, Amos Storkey and Zoubin Ghahramani Conference or Workshop Item (December 2012)

Copula Processes Andrew Wilson and Zoubin Ghahramani Conference or Workshop Item (2010)

Correlated non-parametric latent feature models Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (2009)

Correlated Non-Parametric Latent Feature Models Finale Doshi and Zoubin Ghahramani Conference or Workshop Item (2009)

Dependent Indian Buffet Processes Sinead Williamson, Peter Orbanz and Zoubin Ghahramani Conference or Workshop Item Item not available online. (2010)

Discovering temporal patterns of differential gene expression in microarray time series Oliver Stegle, K Denby, S McHattie, S Meade, David L. Wild, Zoubin Ghahramani and Karsten Borgwardt Conference or Workshop Item (2009)

Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series Oliver Stegle, Katherine J. Denby, Stuart McHattie, Andrew Mead, David Wild, Zoubin Ghahramani and Karsten Borgwardt Conference or Workshop Item (September 2009)

Discovering transcriptional modules by bayesian data integration R S Savage, Zoubin Ghahramani, J E Griffin, B de la Cruz and D L Wild Article (2010)

Expectation propagation for infinite mixtures Thomas P Minka and Zoubin Ghahramani Conference or Workshop Item (2003)

Expectation Propagation for the Estimation of Conditional Bivariate Copulas José Miguel Hernánez Lobato, David López-Paz and Zoubin Ghahramani Conference or Workshop Item (2011)

Factorial mixture of Gaussians and the marginal independence model Ricardo Silva and Zoubin Ghahramani Article Item not available online. (2009)

Factorial mixture of gaussians and the marginal independence model Ricardo Silva and Zoubin Ghahramani Conference or Workshop Item (2009)

Fast online anomaly detection using scan statistics Ryan Turner, Steven Bottone and Zoubin Ghahramani Conference or Workshop Item (August 2010)

Gaussian Process Vine Copulas for Multivariate Dependence David López-Paz, José Miguel Hernánez Lobato and Zoubin Ghahramani Article (2013)

Gaussian processes for ordinal regression Wei Chu and Zoubin Ghahramani Article Item not available online. (July 2005)

Gaussian Processes for Ordinal Regression Wei Chu and Zoubin Ghahramani Monograph (2004)

Gene function prediction from synthetic lethality networks via ranking on demand Christoph Lippert, Zoubin Ghahramani and Karsten Borgwardt Article (2010)

Gene function prediction from synthetic lethality networks via ranking on demand Christoph Lippert, Zoubin Ghahramani and Karsten Borgwardt Article Item not available online. (30 October 2009)

Generalised Wishart Processes Andrew Wilson and Zoubin Ghahramani Conference or Workshop Item (18 March 2011)

Graph Kernels by Spectral Transforms Xiaojin Zhu, Jaz Kandola, John Lafferty and Zoubin Ghahramani Book Section (2005)

Infinite Latent Feature Models and the Indian Buffet Process Thomas Griffiths and Zoubin Ghahramani Monograph (2005)

Infinite Sparse Factor Analysis and Infinite Independent Components Analysis David Knowles and Zoubin Ghahramani Conference or Workshop Item (2007)

Kronecker graphs:an approach to modeling networks Jure Leskovec, D Chakrabarti, J Kleinberg, C Faloutsos and Zoubin Ghahramani Article (February 2010)

Language-independent Bayesian sentiment mining of Twitter Alexander Davies and Zoubin Ghahramani Article (21 August 2011)

Large Scale Non-parametric Inference: Data Parallelisation in the Indian Buffet Process Finale Doshi, David Knowles, Shakir Mohamed and Zoubin Ghahramani Conference or Workshop Item (December 2009)

Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process Finale Doshi, David Knowles, Shakir Mohamed and Zoubin Ghahramani Conference or Workshop Item (2009)

Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process Finale Doshi, Shakir Mohamed, David Knowles and Zoubin Ghahramani Conference or Workshop Item (2009)

Learning the structure of deep sparse graphical models Ryan Adams, H Wallach and Zoubin Ghahramani Conference or Workshop Item (2010)

Learning the structure of deep sparse graphical models Ryan Adams, H Wallach and Zoubin Ghahramani Conference or Workshop Item Item not available online. (2010)

MCMC for doubly-intractable distributions Iain Murray, Zoubin Ghahramani and David J.C. MacKay Conference or Workshop Item (2006)

Message Passing Algorithms for the Dirichlet Diffusion Tree David Knowles, Jurgen van Gael and Zoubin Ghahramani Conference or Workshop Item Item not available online. (2011)

Modeling and Visualizing uncertainty in gene expression clusters using dirichlet process mixtures Carl Edward Rasmussen, B. J. de la Cruz, Zoubin Ghahramani and D. L. Wild Article Item not available online. (October 2009)

Nested sampling for Potts models Iain Murray, David J.C. MacKay, Zoubin Ghahramani and John Skilling Conference or Workshop Item Item not available online. (June 2005)

NetBox: a Probabilistic Method for Modeling and Mining Market Basket Data José Miguel Hernánez Lobato and Zoubin Ghahramani Article Item not available online. (February 2013)

Nonparametric Bayesian Sparse Factor Models with application to Gene Expression modelling Zoubin Ghahramani and David Knowles Article (2010)

Nonparametric Hidden Markov Models Jurgen van Gael and Zoubin Ghahramani Book Section Item availablity restricted. (2010)

Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning Xiaojin Zhu, Jaz Kandola, Zoubin Ghahramani and John Lafferty Conference or Workshop Item (2005)

Pitman-Yor diffusion trees David Knowles and Zoubin Ghahramani Conference or Workshop Item (2011)

Predictive Automatic Relevance Determination by Expectation Propagation Yuan Qi, Tom Minka, Rosalind Picard and Zoubin Ghahramani Conference or Workshop Item (2004)

Preference learning with Gaussian processes Wei Chu and Zoubin Ghahramani Conference or Workshop Item (2005)

Probabilistic models for incomplete multi-dimensional arrays Wei Chu and Zoubin Ghahramani Conference or Workshop Item (2009)

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics Robert Cowell and Zoubin Ghahramani Book (2005)

Propagating Uncertainty in POMDP value iteration with Gaussian Processes Eric P Tuttle and Zoubin Ghahramani Monograph (2004)

R/BHC: Fast bayesian Hierarchical clustering for microarray data R Savage, Katherine Heller, Y Xu, Zoubin Ghahramani, W. M. Truman, M Grant, K. J. Denby and D. L. Wild Article (06 August 2009)

Random function priors for exchangeable arrays with applications to graphs and relational data James Lloyd, Peter Orbanz, Zoubin Ghahramani and Daniel Roy Conference or Workshop Item (2013)

Randomized Algorithms for Fast Bayesian Hierarchical Clustering Katherine Heller and Zoubin Ghahramani Conference or Workshop Item (July 2005)

Ranking relations using analogies in biological and information networks Ricardo Silva, Katherine Heller, Zoubin Ghahramani and E M Airoldi Article (2010)

Ranking relations using analogies in biological and information networks Ricardo Silva, Katherine Heller, Zoubin Ghahramani and Edoardo Airoldi Article Item not available online. (2010)

Scaling the iHMM: Parallelization versus Hadoop Sebastien Bratieres, Jurgen van Gael, Andreas Vlachos and Zoubin Ghahramani Conference or Workshop Item (2010)

Scaling the iHMM: Parallelization versus Hadoop Sebastien Bratieres, Andreas Vlachos, Jurgen van Gael and Zoubin Ghahramani Article Item not available online. (2010)

Sparse Gaussian processes using pseudo-inputs Ed Snelson and Zoubin Ghahramani Conference or Workshop Item (2006)

The block diagonal infinite hidden markov model T Stepleton, Zoubin Ghahramani, G Gordon and T. S. Lee Conference or Workshop Item (2009)

The hidden life of latent variables: Bayesian learning with mixed graph models Ricardo Silva and Zoubin Ghahramani Article Item not available online. (2009)

The Infinite Factorial Hidden Markov Model Jurgen van Gael, Yee Whye Teh and Zoubin Ghahramani Article (2008)

The inﬁnite HMM for unsupervised PoS tagging Jurgen van Gael, Andreas Vlachos and Zoubin Ghahramani Article (06 June 2009)

Time-Sensitive Dirichlet Process Mixture Models Xioajin Zhu, Zoubin Ghahramani and John Lafferty Monograph (2005)

Tree-based inference for dirichlet process mixtures Yang Xu, Katherine Heller and Zoubin Ghahramani Conference or Workshop Item (2009)

Tree-Structured stick breaking for hierarchical data Ryan Adams, Zoubin Ghahramani and M I Jordan Conference or Workshop Item Item not available online. (2010)

Tree-Structured Stick Breaking Processes for Hierarchical Modeling Ryan Adams, Zoubin Ghahramani and Michael Jordan Conference or Workshop Item (2009)

Tree-structured stick-breaking processes for hierarchical modeling Ryan Adams, Zoubin Ghahramani and M. I. Jordan Conference or Workshop Item (2009)

U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models Jaemo Sung, Sung-Yang Bang, Seungjin Choi and Zoubin Ghahramani Conference or Workshop Item (2005)

Unsupervised and constrained dirichlet process mixture models for verb clustering Andreas Vlachos, Anna Korhonen and Zoubin Ghahramani Conference or Workshop Item (2009)

Unsupervised Learning Zoubin Ghahramani Book Section (2004)

Variable noise and dimensionality reduction for sparse Gaussian processes Ed Snelson and Zoubin Ghahramani Conference or Workshop Item (2006)

Variational inference for nonparametric multiple Clustering Y Guan, J G Dy, D Niu and Zoubin Ghahramani Conference or Workshop Item Item not available online. (July 2010)

Warped Gaussian processes Ed Snelson, Carl Edward Rasmussen and Zoubin Ghahramani Conference or Workshop Item (2004)

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