Zoubin Ghahramani

According to our database, Zoubin Ghahramani authored at least 268 papers between 1993 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Neural Diffusion Processes.

Vincent Dutordoir, Alan Saul, Zoubin Ghahramani, Fergus Simpson

Proceedings of the International Conference on Machine Learning, 2023

2022

Plex: Towards Reliability using Pretrained Large Model Extensions.

Dustin Tran, Jeremiah Z. Liu, Michael W. Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, Kelly Buchanan, Kevin Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan

CoRR, 2022

Pre-training helps Bayesian optimization too.

Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani

CoRR, 2022

2021

Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.

Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani

CoRR, 2021

Deep Neural Networks as Point Estimates for Deep Gaussian Processes.

Vincent Dutordoir, James Hensman, Mark van der Wilk, Carl Henrik Ek, Zoubin Ghahramani, Nicolas Durrande

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Handling incomplete heterogeneous data using VAEs.

Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera

Pattern Recognit., 2020

General Latent Feature Models for Heterogeneous Datasets.

Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani

J. Mach. Learn. Res., 2020

Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects.

Will Y. Zou, Smitha Shyam, Michael Mui, Mingshi Wang, Jan O. Pedersen, Zoubin Ghahramani

CoRR, 2020

DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models.

Mohamed Tarek, Kai Xu, Martin Trapp, Hong Ge, Zoubin Ghahramani

CoRR, 2020

Resource-Efficient Neural Networks for Embedded Systems.

Wolfgang Roth, Günther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani

CoRR, 2020

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits.

Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Antithetic and Monte Carlo kernel estimators for partial rankings.

Maria Lomeli, Mark Rowland, Arthur Gretton, Zoubin Ghahramani

Stat. Comput., 2019

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning.

Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Xiaoting Shao, Kristian Kersting, Zoubin Ghahramani

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Bayesian Learning of Sum-Product Networks.

Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

AdvancedHMC.jl: A robust, modular and e cient implementation of advanced HMC algorithms.

Kai Xu, Hong Ge, Will Tebbutt, Mohamed Tarek, Martin Trapp, Zoubin Ghahramani

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

Automatic Bayesian Density Analysis.

Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

One-Network Adversarial Fairness.

Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

The Automatic Statistician.

Christian Steinruecken, Emma Smith, David Janz, James Robert Lloyd, Zoubin Ghahramani

Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019

2018

Denotational validation of higher-order Bayesian inference.

Adam Scibior, Ohad Kammar, Matthijs Vákár, Sam Staton, Hongseok Yang, Yufei Cai, Klaus Ostermann, Sean K. Moss, Chris Heunen, Zoubin Ghahramani

Proc. ACM Program. Lang., 2018

Functional programming for modular Bayesian inference.

Adam Scibior, Ohad Kammar, Zoubin Ghahramani

Proc. ACM Program. Lang., 2018

Efficient and Robust Machine Learning for Real-World Systems.

Franz Pernkopf, Wolfgang Roth, Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina, Zoubin Ghahramani

CoRR, 2018

Probabilistic Meta-Representations Of Neural Networks.

Theofanis Karaletsos, Peter Dayan, Zoubin Ghahramani

CoRR, 2018

Probabilistic Deep Learning using Random Sum-Product Networks.

Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Kristian Kersting, Zoubin Ghahramani

CoRR, 2018

Variational Measure Preserving Flows.

Yichuan Zhang, José Miguel Hernández-Lobato, Zoubin Ghahramani

CoRR, 2018

Imitation networks: Few-shot learning of neural networks from scratch.

Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda

CoRR, 2018

Branch-recombinant Gaussian processes for analysis of perturbations in biological time series.

Christopher A. Penfold, Anastasiya Sybirna, John E. Reid, Yun Huang, Lorenz Wernisch, Zoubin Ghahramani, Murray Grant, M. Azim Surani

Bioinform., 2018

MetaGAN: An Adversarial Approach to Few-Shot Learning.

Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio, Yangqiu Song

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Variational Bayesian dropout: pitfalls and fixes.

Jiri Hron, Alexander G. de G. Matthews, Zoubin Ghahramani

Proceedings of the 35th International Conference on Machine Learning, 2018

Discovering Interpretable Representations for Both Deep Generative and Discriminative Models.

Tameem Adel, Zoubin Ghahramani, Adrian Weller

Proceedings of the 35th International Conference on Machine Learning, 2018

The Mirage of Action-Dependent Baselines in Reinforcement Learning.

George Tucker, Surya Bhupatiraju, Shixiang Gu, Richard E. Turner, Zoubin Ghahramani, Sergey Levine

Proceedings of the 6th International Conference on Learning Representations, 2018

Gaussian Process Behaviour in Wide Deep Neural Networks.

Alexander G. de G. Matthews, Jiri Hron, Mark Rowland, Richard E. Turner, Zoubin Ghahramani

Proceedings of the 6th International Conference on Learning Representations, 2018

Few-shot learning of neural networks from scratch by pseudo example optimization.

Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda

Proceedings of the British Machine Vision Conference 2018, 2018

Turing: Composable inference for probabilistic programming.

Hong Ge, Kai Xu, Zoubin Ghahramani

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Weakly Supervised Collective Feature Learning From Curated Media.

Yusuke Mukuta, Akisato Kimura, David B. Adrian, Zoubin Ghahramani

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

GPflow: A Gaussian Process Library using TensorFlow.

Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, James Hensman

J. Mach. Learn. Res., 2017

General Latent Feature Modeling for Data Exploration Tasks.

Isabel Valera, Melanie F. Pradier, Zoubin Ghahramani

CoRR, 2017

One-Shot Learning in Discriminative Neural Networks.

Jordan Burgess, James Robert Lloyd, Zoubin Ghahramani

CoRR, 2017

Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning.

Shixiang Gu, Tim Lillicrap, Richard E. Turner, Zoubin Ghahramani, Bernhard Schölkopf, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Automatic Discovery of the Statistical Types of Variables in a Dataset.

Isabel Valera, Zoubin Ghahramani

Proceedings of the 34th International Conference on Machine Learning, 2017

Magnetic Hamiltonian Monte Carlo.

Nilesh Tripuraneni, Mark Rowland, Zoubin Ghahramani, Richard E. Turner

Proceedings of the 34th International Conference on Machine Learning, 2017

A Birth-Death Process for Feature Allocation.

Konstantina Palla, David A. Knowles, Zoubin Ghahramani

Proceedings of the 34th International Conference on Machine Learning, 2017

Bayesian inference on random simple graphs with power law degree distributions.

Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi

Proceedings of the 34th International Conference on Machine Learning, 2017

Deep Bayesian Active Learning with Image Data.

Yarin Gal, Riashat Islam, Zoubin Ghahramani

Proceedings of the 34th International Conference on Machine Learning, 2017

Lost Relatives of the Gumbel Trick.

Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller

Proceedings of the 34th International Conference on Machine Learning, 2017

Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic.

Shixiang Gu, Timothy P. Lillicrap, Zoubin Ghahramani, Richard E. Turner, Sergey Levine

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Human Activity Recognition by Combining a Small Number of Classifiers.

Alfredo Nazábal, Pablo Garcia-Moreno, Antonio Artés-Rodríguez, Zoubin Ghahramani

IEEE J. Biomed. Health Informatics, 2016

Unsupervised Many-to-Many Object Matching for Relational Data.

Tomoharu Iwata, James Robert Lloyd, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2016

A General Framework for Constrained Bayesian Optimization using Information-based Search.

José Miguel Hernández-Lobato, Michael A. Gelbart, Ryan P. Adams, Matthew W. Hoffman, Zoubin Ghahramani

J. Mach. Learn. Res., 2016

A study of the effect of JPG compression on adversarial images.

Gintare Karolina Dziugaite, Zoubin Ghahramani, Daniel M. Roy

CoRR, 2016

Markov Beta Processes for Time Evolving Dictionary Learning.

Amar Shah, Zoubin Ghahramani

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

The Mondrian Kernel.

Matej Balog, Balaji Lakshminarayanan, Zoubin Ghahramani, Daniel M. Roy, Yee Whye Teh

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Distributed Flexible Nonlinear Tensor Factorization.

Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks.

Yarin Gal, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Pareto Frontier Learning with Expensive Correlated Objectives.

Amar Shah, Zoubin Ghahramani

Proceedings of the 33nd International Conference on Machine Learning, 2016

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning.

Yarin Gal, Zoubin Ghahramani

Proceedings of the 33nd International Conference on Machine Learning, 2016

Scalable Discrete Sampling as a Multi-Armed Bandit Problem.

Yutian Chen, Zoubin Ghahramani

Proceedings of the 33nd International Conference on Machine Learning, 2016

On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes.

Alexander G. de G. Matthews, James Hensman, Richard E. Turner, Zoubin Ghahramani

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Bayesian Generalised Ensemble Markov Chain Monte Carlo.

Jes Frellsen, Ole Winther, Zoubin Ghahramani, Jesper Ferkinghoff-Borg

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

A Very Simple Safe-Bayesian Random Forest.

Novi Quadrianto, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Relational Learning and Network Modelling Using Infinite Latent Attribute Models.

Konstantina Palla, David A. Knowles, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Pitman Yor Diffusion Trees for Bayesian Hierarchical Clustering.

David A. Knowles, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2015

GPstruct: Bayesian Structured Prediction Using Gaussian Processes.

Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Variational Infinite Hidden Conditional Random Fields.

Konstantinos Bousmalis, Stefanos Zafeiriou, Louis-Philippe Morency, Maja Pantic, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Probabilistic machine learning and artificial intelligence.

Zoubin Ghahramani

Nat., 2015

Linear dimensionality reduction: survey, insights, and generalizations.

John P. Cunningham, Zoubin Ghahramani

J. Mach. Learn. Res., 2015

An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process.

Amar Shah, David A. Knowles, Zoubin Ghahramani

CoRR, 2015

Slice Sampling for Probabilistic Programming.

Razvan Ranca, Zoubin Ghahramani

CoRR, 2015

Sandwiching the marginal likelihood using bidirectional Monte Carlo.

Roger B. Grosse, Zoubin Ghahramani, Ryan P. Adams

CoRR, 2015

Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference.

Yarin Gal, Zoubin Ghahramani

CoRR, 2015

Subsampling-Based Approximate Monte Carlo for Discrete Distributions.

Yutian Chen, Zoubin Ghahramani

CoRR, 2015

Training generative neural networks via Maximum Mean Discrepancy optimization.

Gintare Karolina Dziugaite, Daniel M. Roy, Zoubin Ghahramani

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Particle Gibbs for Infinite Hidden Markov Models.

Nilesh Tripuraneni, Shixiang Gu, Hong Ge, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions.

Amar Shah, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Statistical Model Criticism using Kernel Two Sample Tests.

James Robert Lloyd, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

MCMC for Variationally Sparse Gaussian Processes.

James Hensman, Alexander G. de G. Matthews, Maurizio Filippone, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Neural Adaptive Sequential Monte Carlo.

Shixiang Gu, Zoubin Ghahramani, Richard E. Turner

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process.

Amar Shah, David A. Knowles, Zoubin Ghahramani

Proceedings of the 32nd International Conference on Machine Learning, 2015

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints.

José Miguel Hernández-Lobato, Michael A. Gelbart, Matthew W. Hoffman, Ryan P. Adams, Zoubin Ghahramani

Proceedings of the 32nd International Conference on Machine Learning, 2015

A Probabilistic Model for Dirty Multi-task Feature Selection.

Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Zoubin Ghahramani

Proceedings of the 32nd International Conference on Machine Learning, 2015

Distributed Inference for Dirichlet Process Mixture Models.

Hong Ge, Yutian Chen, Moquan Wan, Zoubin Ghahramani

Proceedings of the 32nd International Conference on Machine Learning, 2015

Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data.

Yarin Gal, Yutian Chen, Zoubin Ghahramani

Proceedings of the 32nd International Conference on Machine Learning, 2015

Practical probabilistic programming with monads.

Adam Scibior, Zoubin Ghahramani, Andrew D. Gordon

Proceedings of the 8th ACM SIGPLAN Symposium on Haskell, 2015

Improving PPM with Dynamic Parameter Updates.

Christian Steinruecken, Zoubin Ghahramani, David J. C. MacKay

Proceedings of the 2015 Data Compression Conference, 2015

Scalable Variational Gaussian Process Classification.

James Hensman, Alexander G. de G. Matthews, Zoubin Ghahramani

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Partial Membership and Factor Analysis.

Zoubin Ghahramani, Shakir Mohamed, Katherine A. Heller

Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

The Random Forest Kernel and other kernels for big data from random partitions.

Alex Davies, Zoubin Ghahramani

CoRR, 2014

Gaussian Process Volatility Model.

Yue Wu, José Miguel Hernández-Lobato, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

General Table Completion using a Bayesian Nonparametric Model.

Isabel Valera, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Predictive Entropy Search for Efficient Global Optimization of Black-box Functions.

José Miguel Hernández-Lobato, Matthew W. Hoffman, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Randomized Nonlinear Component Analysis.

David Lopez-Paz, Suvrit Sra, Alexander J. Smola, Zoubin Ghahramani, Bernhard Schölkopf

Proceedings of the 31th International Conference on Machine Learning, 2014

A reversible infinite HMM using normalised random measures.

David A. Knowles, Zoubin Ghahramani, Konstantina Palla

Proceedings of the 31th International Conference on Machine Learning, 2014

Cold-start Active Learning with Robust Ordinal Matrix Factorization.

Neil Houlsby, José Miguel Hernández-Lobato, Zoubin Ghahramani

Proceedings of the 31th International Conference on Machine Learning, 2014

Probabilistic Matrix Factorization with Non-random Missing Data.

José Miguel Hernández-Lobato, Neil Houlsby, Zoubin Ghahramani

Proceedings of the 31th International Conference on Machine Learning, 2014

Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices.

José Miguel Hernández-Lobato, Neil Houlsby, Zoubin Ghahramani

Proceedings of the 31th International Conference on Machine Learning, 2014

Beta Diffusion Trees.

Creighton Heaukulani, David A. Knowles, Zoubin Ghahramani

Proceedings of the 31th International Conference on Machine Learning, 2014

Pitfalls in the use of Parallel Inference for the Dirichlet Process.

Yarin Gal, Zoubin Ghahramani

Proceedings of the 31th International Conference on Machine Learning, 2014

Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications.

Sébastien Bratières, Novi Quadrianto, Sebastian Nowozin, Zoubin Ghahramani

Proceedings of the 31th International Conference on Machine Learning, 2014

Student-t Processes as Alternatives to Gaussian Processes.

Amar Shah, Andrew Gordon Wilson, Zoubin Ghahramani

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Avoiding pathologies in very deep networks.

David Duvenaud, Oren Rippel, Ryan P. Adams, Zoubin Ghahramani

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response.

Ava Bargi, Richard Yi Da Xu, Zoubin Ghahramani, Massimo Piccardi

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Automatic Construction and Natural-Language Description of Nonparametric Regression Models.

James Robert Lloyd, David Duvenaud, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Model Reductions for Inference: Generality of Pairwise, Binary, and Planar Factor Graphs.

Frederik Eaton, Zoubin Ghahramani

Neural Comput., 2013

Bayesian Structured Prediction Using Gaussian Processes.

Sébastien Bratières, Novi Quadrianto, Zoubin Ghahramani

CoRR, 2013

Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering.

Amar Shah, Zoubin Ghahramani

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models.

Novi Quadrianto, Viktoriia Sharmanska, David A. Knowles, Zoubin Ghahramani

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Warped Mixtures for Nonparametric Cluster Shapes.

Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures.

Konstantinos Bousmalis, Stefanos Zafeiriou, Louis-Philippe Morency, Maja Pantic, Zoubin Ghahramani

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

SIGMa: simple greedy matching for aligning large knowledge bases.

Simon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci, Thore Graepel, Zoubin Ghahramani

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Discovering latent influence in online social activities via shared cascade poisson processes.

Tomoharu Iwata, Amar Shah, Zoubin Ghahramani

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Dynamic Covariance Models for Multivariate Financial Time Series.

Yue Wu, José Miguel Hernández-Lobato, Zoubin Ghahramani

Proceedings of the 30th International Conference on Machine Learning, 2013

Scaling the Indian Buffet Process via Submodular Maximization.

Colorado Reed, Zoubin Ghahramani

Proceedings of the 30th International Conference on Machine Learning, 2013

Gaussian Process Vine Copulas for Multivariate Dependence.

David Lopez-Paz, José Miguel Hernández-Lobato, Zoubin Ghahramani

Proceedings of the 30th International Conference on Machine Learning, 2013

Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks.

Creighton Heaukulani, Zoubin Ghahramani

Proceedings of the 30th International Conference on Machine Learning, 2013

Structure Discovery in Nonparametric Regression through Compositional Kernel Search.

David Duvenaud, James Robert Lloyd, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani

Proceedings of the 30th International Conference on Machine Learning, 2013

Active Learning for Interactive Visualization.

Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

A Generative Model of Vector Space Semantics.

Jacob Andreas, Zoubin Ghahramani

Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, 2013

2012

Flexible Martingale Priors for Deep Hierarchies.

Jacob Steinhardt, Zoubin Ghahramani

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views.

Donglin Niu, Jennifer G. Dy, Zoubin Ghahramani

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Bayesian Classifier Combination.

Hyun-Chul Kim, Zoubin Ghahramani

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Gaussian Processes for time-marked time-series data.

John P. Cunningham, Zoubin Ghahramani, Carl Edward Rasmussen

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Bayesian correlated clustering to integrate multiple datasets.

Paul D. W. Kirk, Jim E. Griffin, Richard S. Savage, Zoubin Ghahramani, David L. Wild

Bioinform., 2012

Modelling Input Varying Correlations between Multiple Responses.

Andrew Gordon Wilson, Zoubin Ghahramani

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Continuous Relaxations for Discrete Hamiltonian Monte Carlo.

Yichuan Zhang, Charles Sutton, Amos J. Storkey, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Active Learning of Model Evidence Using Bayesian Quadrature.

Michael A. Osborne, David Duvenaud, Roman Garnett, Carl E. Rasmussen, Stephen J. Roberts, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Random function priors for exchangeable arrays with applications to graphs and relational data.

James Robert Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel M. Roy

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A nonparametric variable clustering model.

David A. Knowles, Konstantina Palla, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Collaborative Gaussian Processes for Preference Learning.

Neil Houlsby, José Miguel Hernández-Lobato, Ferenc Huszar, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Gaussian Process Regression Networks.

Andrew Gordon Wilson, David A. Knowles, Zoubin Ghahramani

Proceedings of the 29th International Conference on Machine Learning, 2012

Copula-based Kernel Dependency Measures.

Barnabás Póczos, Zoubin Ghahramani, Jeff G. Schneider

Proceedings of the 29th International Conference on Machine Learning, 2012

An Infinite Latent Attribute Model for Network Data.

Konstantina Palla, David A. Knowles, Zoubin Ghahramani

Proceedings of the 29th International Conference on Machine Learning, 2012

Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning .

Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

State of the Journal.

Ramin Zabih, Jiri Matas, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Editorial.

Ramin Zabih, Zoubin Ghahramani, Sing Bing Kang, Jiri Matas

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Editor's Note.

Ramin Zabih, Zoubin Ghahramani, Sing Bing Kang, Jiri Matas

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Approximate inference for the loss-calibrated Bayesian.

Simon Lacoste-Julien, Ferenc Huszar, Zoubin Ghahramani

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

The Indian Buffet Process: An Introduction and Review.

Thomas L. Griffiths, Zoubin Ghahramani

J. Mach. Learn. Res., 2011

Bayesian Active Learning for Classification and Preference Learning

Neil Houlsby, Ferenc Huszar, Zoubin Ghahramani, Máté Lengyel

CoRR, 2011

Bayesian and L1 Approaches to Sparse Unsupervised Learning

Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani

CoRR, 2011

Generalised Wishart Processes.

Andrew Gordon Wilson, Zoubin Ghahramani

Proceedings of the UAI 2011, 2011

Pitman-Yor Diffusion Trees.

David A. Knowles, Zoubin Ghahramani

Proceedings of the UAI 2011, 2011

The Dynamic Beamformer.

Ali Bahramisharif, Marcel A. J. van Gerven, Jan-Mathijs Schoffelen, Zoubin Ghahramani, Tom Heskes

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Testing a Bayesian Measure of Representativeness Using a Large Image Database.

Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani, Thomas L. Griffiths

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Message Passing Algorithms for the Dirichlet Diffusion Tree.

David A. Knowles, Jurgen Van Gael, Zoubin Ghahramani

Proceedings of the 28th International Conference on Machine Learning, 2011

A Comparison of Human and Agent Reinforcement Learning in Partially Observable Domains.

Finale Doshi-Velez, Zoubin Ghahramani

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

Editor's Note.

Ramin Zabih, Jiri Matas, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Dependent Indian Buffet Processes.

Sinead Williamson, Peter Orbanz, Zoubin Ghahramani

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Kronecker Graphs: An Approach to Modeling Networks.

Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos, Zoubin Ghahramani

J. Mach. Learn. Res., 2010

Learning the Structure of Deep Sparse Graphical Models.

Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghahramani

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series.

Oliver Stegle, Katherine J. Denby, Emma J. Cooke, David L. Wild, Zoubin Ghahramani, Karsten M. Borgwardt

J. Comput. Biol., 2010

Nonparametric Bayesian Sparse Factor Models with application to Gene Expression modelling

David A. Knowles, Zoubin Ghahramani

CoRR, 2010

Discovering transcriptional modules by Bayesian data integration.

Richard S. Savage, Zoubin Ghahramani, Jim E. Griffin, Bernard J. de la Cruz, David L. Wild

Bioinform., 2010

Gene function prediction from synthetic lethality networks via ranking on demand.

Christoph Lippert, Zoubin Ghahramani, Karsten M. Borgwardt

Bioinform., 2010

Copula Processes.

Andrew Gordon Wilson, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Tree-Structured Stick Breaking for Hierarchical Data.

Ryan Prescott Adams, Zoubin Ghahramani, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Probabilistic graphical models for semi-supervised traffic classification.

Charalampos Rotsos, Jurgen Van Gael, Andrew W. Moore, Zoubin Ghahramani

Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, 2010

(Invited Talk) Bayesian Hidden Markov Models and Extensions.

Zoubin Ghahramani

Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

Scaling the iHMM: Parallelization versus Hadoop.

Sébastien Bratières, Jurgen Van Gael, Andreas Vlachos, Zoubin Ghahramani

Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010

2009

Modeling and Visualizing Uncertainty in Gene Expression Clusters Using Dirichlet Process Mixtures.

Carl Edward Rasmussen, Bernard J. de la Cruz, Zoubin Ghahramani, David L. Wild

IEEE ACM Trans. Comput. Biol. Bioinform., 2009

Introduction of New Associate Editors.

Ramin Zabih, Jiri Matas, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Tree-Based Inference for Dirichlet Process Mixtures.

Yang Xu, Katherine A. Heller, Zoubin Ghahramani

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

The Block Diagonal Infinite Hidden Markov Model.

Thomas S. Stepleton, Zoubin Ghahramani, Geoffrey J. Gordon, Tai Sing Lee

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Factorial Mixture of Gaussians and the Marginal Independence Model.

Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models.

Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani

J. Mach. Learn. Res., 2009

A kernel method for unsupervised structured network inference.

Christoph Lippert, Oliver Stegle, Zoubin Ghahramani, Karsten M. Borgwardt

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Choosing a Variable to Clamp.

Frederik Eaton, Zoubin Ghahramani

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Probabilistic Models for Incomplete Multi-dimensional Arrays.

Wei Chu, Zoubin Ghahramani

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Ranking Relations using Analogies in Biological and Information Networks

Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani, Edoardo M. Airoldi

CoRR, 2009

Bayesian two-sample tests

Karsten M. Borgwardt, Zoubin Ghahramani

CoRR, 2009

R/BHC: fast Bayesian hierarchical clustering for microarray data.

Richard S. Savage, Katherine A. Heller, Yang Xu, Zoubin Ghahramani, William M. Truman, Murray Grant, Katherine J. Denby, David L. Wild

BMC Bioinform., 2009

Correlated Non-Parametric Latent Feature Models.

Finale Doshi-Velez, Zoubin Ghahramani

Proceedings of the UAI 2009, 2009

A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series.

Oliver Stegle, Katherine J. Denby, David L. Wild, Zoubin Ghahramani, Karsten M. Borgwardt

Proceedings of the Research in Computational Molecular Biology, 2009

Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process.

Finale Doshi-Velez, David A. Knowles, Shakir Mohamed, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Accelerated sampling for the Indian Buffet Process.

Finale Doshi-Velez, Zoubin Ghahramani

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Archipelago: nonparametric Bayesian semi-supervised learning.

Ryan Prescott Adams, Zoubin Ghahramani

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series.

Oliver Stegle, Katherine J. Denby, David L. Wild, Stuart McHattie, Andrew Meade, Zoubin Ghahramani, Karsten M. Borgwardt

Proceedings of the German Conference on Bioinformatics 2009, 2009

The infinite HMM for unsupervised PoS tagging.

Jurgen Van Gael, Andreas Vlachos, Zoubin Ghahramani

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008

Second-Order Latent-Space Variational Bayes for Approximate Bayesian Inference.

JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang

IEEE Signal Process. Lett., 2008

Latent-Space Variational Bayes.

JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Introduction of New Associate Editors.

David J. Kriegman, David J. Fleet, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Editorial-State of the Transactions.

David J. Kriegman, David J. Fleet, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Flexible latent variable models for multi-task learning.

Jian Zhang, Zoubin Ghahramani, Yiming Yang

Mach. Learn., 2008

Outlier Robust Gaussian Process Classification.

Hyun-Chul Kim, Zoubin Ghahramani

Proceedings of the Structural, 2008

Bayesian Exponential Family PCA.

Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

The Infinite Factorial Hidden Markov Model.

Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Statistical models for partial membership.

Katherine A. Heller, Sinead Williamson, Zoubin Ghahramani

Proceedings of the Machine Learning, 2008

Beam sampling for the infinite hidden Markov model.

Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubin Ghahramani

Proceedings of the Machine Learning, 2008

Metropolis Algorithms for Representative Subgraph Sampling.

Christian Hübler, Hans-Peter Kriegel, Karsten M. Borgwardt, Zoubin Ghahramani

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Bayesian Methods for Artificial Intelligence and Machine Learning.

Zoubin Ghahramani

Proceedings of the ECAI 2008, 2008

2007

Stick-breaking Construction for the Indian Buffet Process.

Yee Whye Teh, Dilan Görür, Zoubin Ghahramani

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Local and global sparse Gaussian process approximations.

Edward Lloyd Snelson, Zoubin Ghahramani

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Analogical Reasoning with Relational Bayesian Sets.

Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A Nonparametric Bayesian Approach to Modeling Overlapping Clusters.

Katherine A. Heller, Zoubin Ghahramani

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Hidden Common Cause Relations in Relational Learning.

Ricardo Bezerra de Andrade e Silva, Wei Chu, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Infinite Sparse Factor Analysis and Infinite Independent Components Analysis.

David A. Knowles, Zoubin Ghahramani

Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006

Bayesian Segmental Models with Multiple Sequence Alignment Profiles for Protein Secondary Structure and Contact Map Prediction.

Wei Chu, Zoubin Ghahramani, Alexei A. Podtelezhnikov, David L. Wild

IEEE ACM Trans. Comput. Biol. Bioinform., 2006

Appearance-based gender classification with Gaussian processes.

Hyun-Chul Kim, Daijin Kim, Zoubin Ghahramani, Sung Yang Bang

Pattern Recognit. Lett., 2006

Bayesian Gaussian Process Classification with the EM-EP Algorithm.

Hyun-Chul Kim, Zoubin Ghahramani

IEEE Trans. Pattern Anal. Mach. Intell., 2006

A Non-Parametric Bayesian Method for Inferring Hidden Causes.

Frank D. Wood, Thomas L. Griffiths, Zoubin Ghahramani

Proceedings of the UAI '06, 2006

Variable Noise and Dimensionality Reduction for Sparse Gaussian processes.

Edward Lloyd Snelson, Zoubin Ghahramani

Proceedings of the UAI '06, 2006

Bayesian Inference for Gaussian Mixed Graph Models.

Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani

Proceedings of the UAI '06, 2006

MCMC for Doubly-intractable Distributions.

Iain Murray, Zoubin Ghahramani, David J. C. MacKay

Proceedings of the UAI '06, 2006

Identifying Protein Complexes in High-Throughput Protein Interaction Screens Using an Infinite Latent Feature Model.

Wei Chu, Zoubin Ghahramani, Roland Krause, David L. Wild

Proceedings of the Biocomputing 2006, 2006

Modeling Dyadic Data with Binary Latent Factors.

Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Relational Learning with Gaussian Processes.

Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Gender Classification with Bayesian Kernel Methods.

Hyun-Chul Kim, Daijin Kim, Zoubin Ghahramani, Sung Yang Bang

Proceedings of the International Joint Conference on Neural Networks, 2006

A new approach to data driven clustering.

Arik Azran, Zoubin Ghahramani

Proceedings of the Machine Learning, 2006

Face Recognition Based on Separable Lattice HMMS.

Daisuke Kurata, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, Zoubin Ghahramani

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Simple Bayesian Framework for Content-Based Image Retrieval.

Katherine A. Heller, Zoubin Ghahramani

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Spectral Methods for Automatic Multiscale Data Clustering.

Arik Azran, Zoubin Ghahramani

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Bayesian Support Vector Machines for Feature Ranking and Selection.

Wei Chu, S. Sathiya Keerthi, Chong Jin Ong, Zoubin Ghahramani

Proceedings of the Feature Extraction - Foundations and Applications, 2006

Graph Kernels by Spectral Transforms.

Xiaojin Zhu, Jaz S. Kandola, John Lafferty, Zoubin Ghahramani

Proceedings of the Semi-Supervised Learning, 2006

2005

Gaussian Processes for Ordinal Regression.

Wei Chu, Zoubin Ghahramani

J. Mach. Learn. Res., 2005

Biomarker discovery in microarray gene expression data with Gaussian processes.

Wei Chu, Zoubin Ghahramani, Francesco Falciani, David L. Wild

Bioinform., 2005

A Bayesian approach to reconstructing genetic regulatory networks with hidden factors.

Matthew J. Beal, Francesco Falciani, Zoubin Ghahramani, Claudia Rangel, David L. Wild

Bioinform., 2005

Learning Multiple Related Tasks using Latent Independent Component Analysis.

Jian Zhang, Zoubin Ghahramani, Yiming Yang

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Sparse Gaussian Processes using Pseudo-inputs.

Edward Lloyd Snelson, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Nested sampling for Potts models.

Iain Murray, David J. C. MacKay, Zoubin Ghahramani, John Skilling

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Infinite latent feature models and the Indian buffet process.

Thomas L. Griffiths, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Bayesian Sets.

Zoubin Ghahramani, Katherine A. Heller

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Compact approximations to Bayesian predictive distributions.

Edward Lloyd Snelson, Zoubin Ghahramani

Proceedings of the Machine Learning, 2005

Bayesian hierarchical clustering.

Katherine A. Heller, Zoubin Ghahramani

Proceedings of the Machine Learning, 2005

Preference learning with Gaussian processes.

Wei Chu, Zoubin Ghahramani

Proceedings of the Machine Learning, 2005

U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models.

JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin Ghahramani

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Simultaneous Localization and Mapping with Sparse Extended Information Filters.

Sebastian Thrun, Yufeng Liu, Daphne Koller, Andrew Y. Ng, Zoubin Ghahramani, Hugh F. Durrant-Whyte

Int. J. Robotics Res., 2004

Modeling T-cell activation using gene expression profiling and state-space models.

Claudia Rangel, John Angus, Zoubin Ghahramani, Maria Lioumi, Elizabeth Sotheran, Alessia Gaiba, David L. Wild, Francesco Falciani

Bioinform., 2004

Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms.

Iain Murray, Zoubin Ghahramani

Proceedings of the UAI '04, 2004

Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models.

Ananya Dubey, Seungwoo Hwang, Claudia Rangel, Carl Edward Rasmussen, Zoubin Ghahramani, David L. Wild

Proceedings of the Biocomputing 2004, 2004

The Status of Structural Genomics Defined Through the Analysis of Current Targets and Structures.

Philip E. Bourne, C. K. J. Allerston, Werner G. Krebs, Wilfred W. Li, Ilya N. Shindyalov, Adam Godzik, Iddo Friedberg, Tong Liu, David L. Wild, Seungwoo Hwang, Zoubin Ghahramani, Li Chen, John D. Westbrook

Proceedings of the Biocomputing 2004, 2004

Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning.

Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, John D. Lafferty

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

A Probabilistic Model for Online Document Clustering with Application to Novelty Detection.

Jian Zhang, Zoubin Ghahramani, Yiming Yang

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Predictive automatic relevance determination by expectation propagation.

Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard, Zoubin Ghahramani

Proceedings of the Machine Learning, 2004

A graphical model for protein secondary structure prediction.

Wei Chu, Zoubin Ghahramani, David L. Wild

Proceedings of the Machine Learning, 2004

Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models.

Wei Chu, Zoubin Ghahramani, David L. Wild

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003

On the Convergence of Bound Optimization Algorithms.

Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani

Proceedings of the UAI '03, 2003

Warped Gaussian Processes.

Edward Lloyd Snelson, Carl Edward Rasmussen, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions.

Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty

Proceedings of the Machine Learning, 2003

Optimization with EM and Expectation-Conjugate-Gradient.

Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani

Proceedings of the Machine Learning, 2003

Unsupervised Learning.

Zoubin Ghahramani

Proceedings of the Advanced Lectures on Machine Learning, 2003

2002

Bayesian model search for mixture models based on optimizing variational bounds.

Naonori Ueda, Zoubin Ghahramani

Neural Networks, 2002

A Bayesian network model for protein fold and remote homologue recognition.

Alpan Raval, Zoubin Ghahramani, David L. Wild

Bioinform., 2002

Simultaneous Mapping and Localization with Sparse Extended Information Filters: Theory and Initial Results.

Sebastian Thrun, Daphne Koller, Zoubin Ghahramani, Hugh F. Durrant-Whyte, Andrew Y. Ng

Proceedings of the Algorithmic Foundations of Robotics V, 2002

Bayesian Monte Carlo.

Carl Edward Rasmussen, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Learning with Multiple Labels.

Rong Jin, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

An Introduction to Hidden Markov Models and Bayesian Networks.

Zoubin Ghahramani

Int. J. Pattern Recognit. Artif. Intell., 2001

Infinite Mixtures of Gaussian Process Experts.

Carl Edward Rasmussen, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

The Infinite Hidden Markov Model.

Matthew J. Beal, Zoubin Ghahramani, Carl Edward Rasmussen

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates.

Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton

J. VLSI Signal Process., 2000

SMEM Algorithm for Mixture Models.

Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton

Neural Comput., 2000

Variational Learning for Switching State-Space Models.

Zoubin Ghahramani, Geoffrey E. Hinton

Neural Comput., 2000

Occam's Razor.

Carl Edward Rasmussen, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Propagation Algorithms for Variational Bayesian Learning.

Zoubin Ghahramani, Matthew J. Beal

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

MFDTs: Mean Field Dynamic Trees.

Nicholas J. Adams, Amos J. Storkey, Christopher K. I. Williams, Zoubin Ghahramani

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999

A Unifying Review of Linear Gaussian Models.

Sam T. Roweis, Zoubin Ghahramani

Neural Comput., 1999

An Introduction to Variational Methods for Graphical Models.

Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, Lawrence K. Saul

Mach. Learn., 1999

Learning to Parse Images.

Geoffrey E. Hinton, Zoubin Ghahramani, Yee Whye Teh

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Variational Inference for Bayesian Mixtures of Factor Analysers.

Zoubin Ghahramani, Matthew J. Beal

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Learning Nonlinear Dynamical Systems Using an EM Algorithm.

Zoubin Ghahramani, Sam T. Roweis

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

An Introduction to Variational Methods for Graphical Models.

Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, Lawrence K. Saul

Proceedings of the Learning in Graphical Models, 1998

A Hierarchical Community of Experts.

Geoffrey E. Hinton, Brian Sallans, Zoubin Ghahramani

Proceedings of the Learning in Graphical Models, 1998

1997

Factorial Hidden Markov Models.

Zoubin Ghahramani, Michael I. Jordan

Mach. Learn., 1997

Learning Dynamic Bayesian Networks.

Zoubin Ghahramani

Proceedings of the Adaptive Processing of Sequences and Data Structures, 1997

Hierarchical Non-linear Factor Analysis and Topographic Maps.

Zoubin Ghahramani, Geoffrey E. Hinton

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996

Active Learning with Statistical Models.

David A. Cohn, Zoubin Ghahramani, Michael I. Jordan

J. Artif. Intell. Res., 1996

Hidden Markov Decision Trees.

Michael I. Jordan, Zoubin Ghahramani, Lawrence K. Saul

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1994

Forward dynamic models in human motor control: Psychophysical evidence.

Daniel M. Wolpert, Zoubin Ghahramani, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Computational Structure of coordinate transformations: A generalization study.

Zoubin Ghahramani, Daniel M. Wolpert, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Factorial Learning and the EM Algorithm.

Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993

Supervised learning from incomplete data via an EM approach.

Zoubin Ghahramani, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 6, 1993