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All publications by Zoubin Ghahramani
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An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process
Amar Shah, David Knowles and Zoubin Ghahramani
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Distributed Inference for Dirichlet Process Mixture Models
Hong Ge, Yutian Chen, Moquan Wan and Zoubin Ghahramani
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
Yarin Gal, Yutian Chen and Zoubin Ghahramani
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Particle Gibbs for Infinite Hidden Markov Models
Nilesh Tripuraneni, Shixiang Gu, Hong Ge and Zoubin Ghahramani
Advances in Neural Information Processing Systems 28, 2015


Neural Adaptive Sequential Monte Carlo
Shixiang Gu, Zoubin Ghahramani and Richard E. Turner
Advances in Neural Information Processing Systems 28, 2015


MCMC for Variationally Sparse Gaussian Processes
James Hensman, Alexander G. Matthews, Maurizio Filippone and Zoubin Ghahramani
Advances in Neural Information Processing Systems 28, 2015


Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions
Amar Shah and Zoubin Ghahramani
Advances in Neural Information Processing Systems 28, 2015


Statistical Model Criticism using Kernel Two Sample Tests
James R. Lloyd and Zoubin Ghahramani
Advances in Neural Information Processing Systems 28, 2015


Randomized Nonlinear Component Analysis
David Lopez-paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani and Bernhard Schoelkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Randomized Nonlinear Component Analysis
David Lopez-paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani and Bernhard Schoelkopf
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A reversible infinite HMM using normalised random measures
David Knowles, Zoubin Ghahramani and Konstantina Palla
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Cold-start Active Learning with Robust Ordinal Matrix Factorization
Neil Houlsby, Jose M. Hernandez-lobato and Zoubin Ghahramani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Probabilistic Matrix Factorization with Non-random Missing Data
Jose M. Hernandez-lobato, Neil Houlsby and Zoubin Ghahramani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices
Jose M. Hernandez-lobato, Neil Houlsby and Zoubin Ghahramani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Beta Diffusion Trees
Creighton Heaukulani, David Knowles and Zoubin Ghahramani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Pitfalls in the use of Parallel Inference for the Dirichlet Process
Yarin Gal and Zoubin Ghahramani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications
Sebastien Bratieres, Novi Quadrianto, Sebastian Nowozin and Zoubin Ghahramani
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Gaussian Process Volatility Model
Yue Wu, José M. Hernández-lobato and Zoubin Ghahramani
Advances in Neural Information Processing Systems 27, 2014


Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José M. Hernández-lobato, Matthew W. Hoffman and Zoubin Ghahramani
Advances in Neural Information Processing Systems 27, 2014


General Table Completion using a Bayesian Nonparametric Model
Isabel Valera and Zoubin Ghahramani
Advances in Neural Information Processing Systems 27, 2014


Gaussian Process Vine Copulas for Multivariate Dependence
David Lopez-paz, Jose M. Hernández-lobato and Zoubin Ghahramani
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks
Creighton Heaukulani and Zoubin Ghahramani
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Continuous Relaxations for Discrete Hamiltonian Monte Carlo
Yichuan Zhang, Zoubin Ghahramani, Amos J. Storkey and Charles A. Sutton
Advances in Neural Information Processing Systems 25, 2012


A nonparametric variable clustering model
Konstantina Palla, Zoubin Ghahramani and David A. Knowles
Advances in Neural Information Processing Systems 25, 2012


Collaborative Gaussian Processes for Preference Learning
Neil Houlsby, Ferenc Huszar, Zoubin Ghahramani and Jose M. Hernández-lobato
Advances in Neural Information Processing Systems 25, 2012


Random function priors for exchangeable arrays with applications to graphs and relational data
James Lloyd, Peter Orbanz, Zoubin Ghahramani and Daniel M. Roy
Advances in Neural Information Processing Systems 25, 2012


Active Learning of Model Evidence Using Bayesian Quadrature
Michael Osborne, Roman Garnett, Zoubin Ghahramani, David K. Duvenaud, Stephen J. Roberts and Carl E. Rasmussen
Advances in Neural Information Processing Systems 25, 2012


Gaussian Process Regression Networks
Andrew Wilson, Zoubin Ghahramani and David A. Knowles
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Copula-based Kernel Dependency Measures
Zoubin Ghahramani, Barnabás Póczos and Jeff G. Schneider
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


An Infinite Latent Attribute Model for Network Data
Konstantina Palla, Zoubin Ghahramani and David A. Knowles
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Bayesian and L1 Approaches for Sparse Unsupervised Learning
Shakir Mohamed, Zoubin Ghahramani and Katherine A. Heller
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Flexible Martingale Priors for Deep Hierarchies
Jacob Steinhardt and Zoubin Ghahramani
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views
Donglin Niu, Jennifer G. Dy and Zoubin Ghahramani
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian Classifier Combination
Hyun-chul Kim and Zoubin Ghahramani
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Gaussian Processes for time-marked time-series data
John Cunningham, Zoubin Ghahramani and Carl E. Rasmussen
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Testing a Bayesian Measure of Representativeness Using a Large Image Database
Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani and Thomas L. Griffiths
Advances in Neural Information Processing Systems 24, 2011


Message Passing Algorithms for the Dirichlet Diffusion Tree
Jurgen V. Gael, Zoubin Ghahramani and David A. Knowles
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Approximate inference for the loss-calibrated Bayesian
Simon Lacoste-julien, Ferenc Huszar and Zoubin Ghahramani
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Copula Processes
Andrew Wilson and Zoubin Ghahramani
Advances in Neural Information Processing Systems 23, 2010


Tree-Structured Stick Breaking for Hierarchical Data
Zoubin Ghahramani, Michael I. Jordan and Ryan P. Adams
Advances in Neural Information Processing Systems 23, 2010


Dependent Indian Buffet Processes
Sinead Williamson, Peter Orbanz and Zoubin Ghahramani
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Learning the Structure of Deep Sparse Graphical Models
Ryan P. Adams, Hanna M. Wallach and Zoubin Ghahramani
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models
Ricardo Silva and Zoubin Ghahramani
Journal of Machine Learning Research, 2009


Accelerated sampling for the Indian Buffet Process
Finale Doshi-velez and Zoubin Ghahramani
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Archipelago: nonparametric Bayesian semi-supervised learning
Ryan P. Adams and Zoubin Ghahramani
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process
Finale Doshi-velez, Shakir Mohamed, Zoubin Ghahramani and David A. Knowles
Advances in Neural Information Processing Systems 22, 2009


Tree-Based Inference for Dirichlet Process Mixtures
Yang Xu, Katherine A. Heller and Zoubin Ghahramani
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


The Block Diagonal Infinite Hidden Markov Model
Thomas S. Stepleton, Zoubin Ghahramani, Geoffrey J. Gordon and Tai S. Lee
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Factorial Mixture of Gaussians and the Marginal Independence Model
Ricardo Silva and Zoubin Ghahramani
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


A kernel method for unsupervised structured network inference
Christoph Lippert, Oliver Stegle, Zoubin Ghahramani and Karsten M. Borgwardt
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Choosing a Variable to Clamp
Frederik Eaton and Zoubin Ghahramani
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Probabilistic Models for Incomplete Multi-dimensional Arrays
Wei Chu and Zoubin Ghahramani
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Statistical models for partial membership
Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Beam sampling for the infinite hidden Markov model
Jurgen V. Gael, Yunus Saatci, Yee W. Teh and Zoubin Ghahramani
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Bayesian Exponential Family PCA
Shakir Mohamed, Zoubin Ghahramani and Katherine A. Heller
Advances in Neural Information Processing Systems 21, 2008


The Infinite Factorial Hidden Markov Model
Jurgen V. Gael, Yee W. Teh and Zoubin Ghahramani
Advances in Neural Information Processing Systems 21, 2008


Hidden Common Cause Relations in Relational Learning
Ricardo Silva, Wei Chu and Zoubin Ghahramani
Advances in Neural Information Processing Systems 20, 2007


Stick-breaking Construction for the Indian Buffet Process
Yee W. Teh, Dilan Görür and Zoubin Ghahramani
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Local and global sparse Gaussian process approximations
Edward Snelson and Zoubin Ghahramani
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Analogical Reasoning with Relational Bayesian Sets
Ricardo Silva, Katherine A. Heller and Zoubin Ghahramani
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


A Nonparametric Bayesian Approach to Modeling Overlapping Clusters
Katherine A. Heller and Zoubin Ghahramani
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


A new approach to data driven clustering
Arik Azran and Zoubin Ghahramani
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Modeling Dyadic Data with Binary Latent Factors
Edward Meeds, Zoubin Ghahramani, Radford M. Neal and Sam T. Roweis
Advances in Neural Information Processing Systems 19, 2006


Relational Learning with Gaussian Processes
Wei Chu, Vikas Sindhwani, Zoubin Ghahramani and S. S. Keerthi
Advances in Neural Information Processing Systems 19, 2006


Compact approximations to Bayesian predictive distributions
Edward Snelson and Zoubin Ghahramani
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Bayesian hierarchical clustering
Katherine A. Heller and Zoubin Ghahramani
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Preference learning with Gaussian processes
Wei Chu and Zoubin Ghahramani
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


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


Sparse Gaussian Processes using Pseudo-inputs
Edward Snelson and Zoubin Ghahramani
Advances in Neural Information Processing Systems 18, 2005


Learning Multiple Related Tasks using Latent Independent Component Analysis
Jian Zhang, Zoubin Ghahramani and Yiming Yang
Advances in Neural Information Processing Systems 18, 2005


Infinite latent feature models and the Indian buffet process
Zoubin Ghahramani and Thomas L. Griffiths
Advances in Neural Information Processing Systems 18, 2005


Gaussian Processes for Ordinal Regression
Wei Chu and Zoubin Ghahramani
Journal of Machine Learning Research, 2005


Predictive automatic relevance determination by expectation propagation
Yuan (. Qi, Thomas P. Minka, Rosalind W. Picard and Zoubin Ghahramani
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


A graphical model for protein secondary structure prediction
Wei Chu, Zoubin Ghahramani and David L. Wild
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
Xiaojin Zhu, Jaz Kandola, Zoubin Ghahramani and John D. Lafferty
Advances in Neural Information Processing Systems 17, 2004


A Probabilistic Model for Online Document Clustering with Application to Novelty Detection
Jian Zhang, Zoubin Ghahramani and Yiming Yang
Advances in Neural Information Processing Systems 17, 2004


Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
Xiaojin Zhu, Zoubin Ghahramani and John D. Lafferty
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Optimization with EM and Expectation-Conjugate-Gradient
Ruslan Salakhutdinov, Sam T. Roweis and Zoubin Ghahramani
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Warped Gaussian Processes
Edward Snelson, Zoubin Ghahramani and Carl E. Rasmussen
Advances in Neural Information Processing Systems 16, 2003


Learning with Multiple Labels
Rong Jin and Zoubin Ghahramani
Advances in Neural Information Processing Systems 15, 2002


Bayesian Monte Carlo
Zoubin Ghahramani and Carl E. Rasmussen
Advances in Neural Information Processing Systems 15, 2002


Infinite Mixtures of Gaussian Process Experts
Carl E. Rasmussen and Zoubin Ghahramani
Advances in Neural Information Processing Systems 14, 2001


The Infinite Hidden Markov Model
Matthew J. Beal, Zoubin Ghahramani and Carl E. Rasmussen
Advances in Neural Information Processing Systems 14, 2001