| 2023 | ICML | Neural Diffusion Processes. | Vincent Dutordoir, Alan Saul, Zoubin Ghahramani, Fergus Simpson |
| 2020 | ICML | 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 |
| 2019 | AAAI | One-Network Adversarial Fairness. | Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller |
| 2019 | AAAI | Automatic Bayesian Density Analysis. | Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera |
| 2019 | UAI | 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 |
| 2018 | AAAI | Weakly Supervised Collective Feature Learning From Curated Media. | Yusuke Mukuta, Akisato Kimura, David B. Adrian, Zoubin Ghahramani |
| 2018 | AISTATS | Turing: Composable inference for probabilistic programming. | Hong Ge, Kai Xu, Zoubin Ghahramani |
| 2018 | BMVC | Few-shot learning of neural networks from scratch by pseudo example optimization. | Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda |
| 2018 | ICLR | Gaussian Process Behaviour in Wide Deep Neural Networks. | Alexander G. de G. Matthews, Jiri Hron, Mark Rowland, Richard E. Turner, Zoubin Ghahramani |
| 2018 | ICLR | The Mirage of Action-Dependent Baselines in Reinforcement Learning. | George Tucker, Surya Bhupatiraju, Shixiang Gu, Richard E. Turner, Zoubin Ghahramani, Sergey Levine |
| 2018 | ICML | Discovering Interpretable Representations for Both Deep Generative and Discriminative Models. | Tameem Adel, Zoubin Ghahramani, Adrian Weller |
| 2018 | ICML | Variational Bayesian dropout: pitfalls and fixes. | Jiri Hron, Alexander G. de G. Matthews, Zoubin Ghahramani |
| 2018 | ICML | The Mirage of Action-Dependent Baselines in Reinforcement Learning. | George Tucker, Surya Bhupatiraju, Shixiang Gu, Richard E. Turner, Zoubin Ghahramani, Sergey Levine |
| 2017 | ICLR | Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic. | Shixiang Gu, Timothy P. Lillicrap, Zoubin Ghahramani, Richard E. Turner, Sergey Levine |
| 2017 | ICML | Lost Relatives of the Gumbel Trick. | Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller |
| 2017 | ICML | Deep Bayesian Active Learning with Image Data. | Yarin Gal, Riashat Islam, Zoubin Ghahramani |
| 2017 | ICML | Bayesian inference on random simple graphs with power law degree distributions. | Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot F. James, Seungjin Choi |
| 2017 | ICML | A Birth-Death Process for Feature Allocation. | Konstantina Palla, David A. Knowles, Zoubin Ghahramani |
| 2017 | ICML | Magnetic Hamiltonian Monte Carlo. | Nilesh Tripuraneni, Mark Rowland, Zoubin Ghahramani, Richard E. Turner |
| 2017 | ICML | Automatic Discovery of the Statistical Types of Variables in a Dataset. | Isabel Valera, Zoubin Ghahramani |
| 2016 | AISTATS | Bayesian Generalised Ensemble Markov Chain Monte Carlo. | Jes Frellsen, Ole Winther, Zoubin Ghahramani, Jesper Ferkinghoff-Borg |
| 2016 | AISTATS | On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes. | Alexander G. de G. Matthews, James Hensman, Richard E. Turner, Zoubin Ghahramani |
| 2016 | ICML | Scalable Discrete Sampling as a Multi-Armed Bandit Problem. | Yutian Chen, Zoubin Ghahramani |
| 2016 | ICML | Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning. | Yarin Gal, Zoubin Ghahramani |
| 2016 | ICML | Pareto Frontier Learning with Expensive Correlated Objectives. | Amar Shah, Zoubin Ghahramani |
| 2016 | UAI | The Mondrian Kernel. | Matej Balog, Balaji Lakshminarayanan, Zoubin Ghahramani, Daniel M. Roy, Yee Whye Teh |
| 2016 | UAI | Markov Beta Processes for Time Evolving Dictionary Learning. | Amar Shah, Zoubin Ghahramani |
| 2015 | AISTATS | Scalable Variational Gaussian Process Classification. | James Hensman, Alexander G. de G. Matthews, Zoubin Ghahramani |
| 2015 | DCC | Improving PPM with Dynamic Parameter Updates. | Christian Steinruecken, Zoubin Ghahramani, David J. C. MacKay |
| 2015 | HASKELL | Practical probabilistic programming with monads. | Adam Scibior, Zoubin Ghahramani, Andrew D. Gordon |
| 2015 | ICML | Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data. | Yarin Gal, Yutian Chen, Zoubin Ghahramani |
| 2015 | ICML | Distributed Inference for Dirichlet Process Mixture Models. | Hong Ge, Yutian Chen, Moquan Wan, Zoubin Ghahramani |
| 2015 | ICML | A Probabilistic Model for Dirty Multi-task Feature Selection. | Daniel Hernndez-Lobato, Jos Miguel Hernndez-Lobato, Zoubin Ghahramani |
| 2015 | ICML | Predictive Entropy Search for Bayesian Optimization with Unknown Constraints. | Jos Miguel Hernndez-Lobato, Michael A. Gelbart, Matthew W. Hoffman, Ryan P. Adams, Zoubin Ghahramani |
| 2015 | ICML | An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process. | Amar Shah, David A. Knowles, Zoubin Ghahramani |
| 2015 | UAI | Training generative neural networks via Maximum Mean Discrepancy optimization. | Gintare Karolina Dziugaite, Daniel M. Roy, Zoubin Ghahramani |
| 2014 | AAAI | Automatic Construction and Natural-Language Description of Nonparametric Regression Models. | James Robert Lloyd, David Duvenaud, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani |
| 2014 | AISTATS | A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response. | Ava Bargi, Richard Yi Da Xu, Zoubin Ghahramani, Massimo Piccardi |
| 2014 | AISTATS | Avoiding pathologies in very deep networks. | David Duvenaud, Oren Rippel, Ryan P. Adams, Zoubin Ghahramani |
| 2014 | AISTATS | Student-t Processes as Alternatives to Gaussian Processes. | Amar Shah, Andrew Gordon Wilson, Zoubin Ghahramani |
| 2014 | ICML | Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications. | Sbastien Bratires, Novi Quadrianto, Sebastian Nowozin, Zoubin Ghahramani |
| 2014 | ICML | Pitfalls in the use of Parallel Inference for the Dirichlet Process. | Yarin Gal, Zoubin Ghahramani |
| 2014 | ICML | Beta Diffusion Trees. | Creighton Heaukulani, David A. Knowles, Zoubin Ghahramani |
| 2014 | ICML | Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices. | Jos Miguel Hernndez-Lobato, Neil Houlsby, Zoubin Ghahramani |
| 2014 | ICML | Probabilistic Matrix Factorization with Non-random Missing Data. | Jos Miguel Hernndez-Lobato, Neil Houlsby, Zoubin Ghahramani |
| 2014 | ICML | Cold-start Active Learning with Robust Ordinal Matrix Factorization. | Neil Houlsby, Jos Miguel Hernndez-Lobato, Zoubin Ghahramani |
| 2014 | ICML | A reversible infinite HMM using normalised random measures. | David A. Knowles, Zoubin Ghahramani, Konstantina Palla |
| 2014 | ICML | Randomized Nonlinear Component Analysis. | David Lopez-Paz, Suvrit Sra, Alexander J. Smola, Zoubin Ghahramani, Bernhard Schlkopf |
| 2013 | ACL | A Generative Model of Vector Space Semantics. | Jacob Andreas, Zoubin Ghahramani |
| 2013 | AISTATS | Active Learning for Interactive Visualization. | Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani |
| 2013 | ICML | Structure Discovery in Nonparametric Regression through Compositional Kernel Search. | David Duvenaud, James Robert Lloyd, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani |
| 2013 | ICML | Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks. | Creighton Heaukulani, Zoubin Ghahramani |
| 2013 | ICML | Gaussian Process Vine Copulas for Multivariate Dependence. | David Lopez-Paz, Jos Miguel Hernndez-Lobato, Zoubin Ghahramani |
| 2013 | ICML | Scaling the Indian Buffet Process via Submodular Maximization. | Colorado Reed, Zoubin Ghahramani |
| 2013 | ICML | Dynamic Covariance Models for Multivariate Financial Time Series. | Yue Wu, Jos Miguel Hernndez-Lobato, Zoubin Ghahramani |
| 2013 | KDD | Discovering latent influence in online social activities via shared cascade poisson processes. | Tomoharu Iwata, Amar Shah, Zoubin Ghahramani |
| 2013 | KDD | SIGMa: simple greedy matching for aligning large knowledge bases. | Simon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci, Thore Graepel, Zoubin Ghahramani |
| 2013 | UAI | Warped Mixtures for Nonparametric Cluster Shapes. | Tomoharu Iwata, David Duvenaud, Zoubin Ghahramani |
| 2013 | UAI | The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models. | Novi Quadrianto, Viktoriia Sharmanska, David A. Knowles, Zoubin Ghahramani |
| 2013 | UAI | Determinantal Clustering Processes - A Nonparametric Bayesian Approach to Kernel Based Semi-Supervised Clustering. | Amar Shah, Zoubin Ghahramani |
| 2012 | ICML | Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning . | Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani |
| 2012 | ICML | An Infinite Latent Attribute Model for Network Data. | Konstantina Palla, David A. Knowles, Zoubin Ghahramani |
| 2012 | ICML | Copula-based Kernel Dependency Measures. | Barnabs Pczos, Zoubin Ghahramani, Jeff G. Schneider |
| 2012 | ICML | Gaussian Process Regression Networks. | Andrew Gordon Wilson, David A. Knowles, Zoubin Ghahramani |
| 2011 | CogSci | A Comparison of Human and Agent Reinforcement Learning in Partially Observable Domains. | Finale Doshi-Velez, Zoubin Ghahramani |
| 2011 | ICML | Message Passing Algorithms for the Dirichlet Diffusion Tree. | David A. Knowles, Jurgen Van Gael, Zoubin Ghahramani |
| 2011 | UAI | Pitman-Yor Diffusion Trees. | David A. Knowles, Zoubin Ghahramani |
| 2011 | UAI | Generalised Wishart Processes. | Andrew Gordon Wilson, Zoubin Ghahramani |
| 2010 | CoNLL | (Invited Talk) Bayesian Hidden Markov Models and Extensions. | Zoubin Ghahramani |
| 2010 | IWCMC | Probabilistic graphical models for semi-supervised traffic classification. | Charalampos Rotsos, Jurgen Van Gael, Andrew W. Moore, Zoubin Ghahramani |
| 2009 | EMNLP | The infinite HMM for unsupervised PoS tagging. | Jurgen Van Gael, Andreas Vlachos, Zoubin Ghahramani |
| 2009 | ICML | Archipelago: nonparametric Bayesian semi-supervised learning. | Ryan Prescott Adams, Zoubin Ghahramani |
| 2009 | ICML | Accelerated sampling for the Indian Buffet Process. | Finale Doshi-Velez, Zoubin Ghahramani |
| 2009 | RECOMB | 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 |
| 2009 | UAI | Correlated Non-Parametric Latent Feature Models. | Finale Doshi-Velez, Zoubin Ghahramani |
| 2008 | ECAI | Bayesian Methods for Artificial Intelligence and Machine Learning. | Zoubin Ghahramani |
| 2008 | ICDM | Metropolis Algorithms for Representative Subgraph Sampling. | Christian Hbler, Hans-Peter Kriegel, Karsten M. Borgwardt, Zoubin Ghahramani |
| 2008 | ICML | Beam sampling for the infinite hidden Markov model. | Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubin Ghahramani |
| 2008 | ICML | Statistical models for partial membership. | Katherine A. Heller, Sinead Williamson, Zoubin Ghahramani |
| 2008 | SSPR | Outlier Robust Gaussian Process Classification. | Hyun-Chul Kim, Zoubin Ghahramani |
| 2006 | CVPR | Spectral Methods for Automatic Multiscale Data Clustering. | Arik Azran, Zoubin Ghahramani |
| 2006 | CVPR | A Simple Bayesian Framework for Content-Based Image Retrieval. | Katherine A. Heller, Zoubin Ghahramani |
| 2006 | ICASSP | Face Recognition Based on Separable Lattice HMMS. | Daisuke Kurata, Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamura, Zoubin Ghahramani |
| 2006 | ICML | A new approach to data driven clustering. | Arik Azran, Zoubin Ghahramani |
| 2006 | IJCNN | Gender Classification with Bayesian Kernel Methods. | Hyun-Chul Kim, Daijin Kim, Zoubin Ghahramani, Sung Yang Bang |
| 2006 | PSB | Identifying Protein Complexes in High-Throughput Protein Interaction Screens Using an Infinite Latent Feature Model. | Wei Chu, Zoubin Ghahramani, Roland Krause, David L. Wild |
| 2006 | UAI | MCMC for Doubly-intractable Distributions. | Iain Murray, Zoubin Ghahramani, David J. C. MacKay |
| 2006 | UAI | Bayesian Inference for Gaussian Mixed Graph Models. | Ricardo Bezerra de Andrade e Silva, Zoubin Ghahramani |
| 2006 | UAI | Variable Noise and Dimensionality Reduction for Sparse Gaussian processes. | Edward Lloyd Snelson, Zoubin Ghahramani |
| 2006 | UAI | A Non-Parametric Bayesian Method for Inferring Hidden Causes. | Frank D. Wood, Thomas L. Griffiths, Zoubin Ghahramani |
| 2005 | ICML | Preference learning with Gaussian processes. | Wei Chu, Zoubin Ghahramani |
| 2005 | ICML | Bayesian hierarchical clustering. | Katherine A. Heller, Zoubin Ghahramani |
| 2005 | ICML | Compact approximations to Bayesian predictive distributions. | Edward Lloyd Snelson, Zoubin Ghahramani |
| 2004 | ESANN | Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models. | Wei Chu, Zoubin Ghahramani, David L. Wild |
| 2004 | ICML | A graphical model for protein secondary structure prediction. | Wei Chu, Zoubin Ghahramani, David L. Wild |
| 2004 | ICML | Predictive automatic relevance determination by expectation propagation. | Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picard, Zoubin Ghahramani |
| 2004 | PSB | 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 |
| 2004 | PSB | 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 |
| 2004 | UAI | Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms. | Iain Murray, Zoubin Ghahramani |
| 2003 | ICML | Optimization with EM and Expectation-Conjugate-Gradient. | Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani |
| 2003 | ICML | Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. | Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty |
| 2003 | UAI | On the Convergence of Bound Optimization Algorithms. | Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani |
| 2002 | WAFR | 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 |
| 2000 | ICPR | MFDTs: Mean Field Dynamic Trees. | Nicholas J. Adams, Amos J. Storkey, Christopher K. I. Williams, Zoubin Ghahramani |