Zoubin Ghahramani - Publications

Affiliations: 
University of Cambridge, Cambridge, England, United Kingdom 
Area:
Machine learning
Website:
http://www.gatsby.ucl.ac.uk/~zoubin/

201 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Iwata T, Lloyd JR, Ghahramani Z. Unsupervised Many-to-Many Object Matching for Relational Data. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 607-17. PMID 27046500 DOI: 10.1109/TPAMI.2015.2469284  1
2015 Bratieres S, Quadrianto N, Ghahramani Z. GPstruct: Bayesian Structured Prediction Using Gaussian Processes. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 1514-20. PMID 26352456 DOI: 10.1109/TPAMI.2014.2366151  1
2015 Ghahramani Z. Probabilistic machine learning and artificial intelligence Nature. 521: 452-459. PMID 26017444 DOI: 10.1038/nature14541  1
2015 ͆cibior A, Ghahramani Z, Gordon AD. Practical probabilistic programming with monads Haskell 2015 - Proceedings of the 8th Acm Sigplan Symposium On Haskell, Co-Located With Icfp 2015. 165-176. DOI: 10.1145/2804302.2804317  1
2015 Tarran B, Ghahramani Z. How machines learned to think statistically Significance. 12: 8-15. DOI: 10.1111/j.1740-9713.2015.00796.x  1
2015 Bousmalis K, Zafeiriou S, Morency LP, Pantic M, Ghahramani Z. Variational infinite hidden conditional random fields Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 1917-1929. DOI: 10.1109/TPAMI.2014.2388228  1
2015 Quadrianto N, Ghahramani Z. A very simple safe-Bayesian random forest Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 1297-1303. DOI: 10.1109/TPAMI.2014.2362751  1
2015 Palla K, Knowles DA, Ghahramani Z. Relational learning and network modelling using infinite latent attribute models Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 462-474. DOI: 10.1109/TPAMI.2014.2324586  1
2015 Knowles DA, Ghahramani Z. Pitman yor diffusion trees for bayesian hierarchical clustering Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 271-289. DOI: 10.1109/TPAMI.2014.2313115  1
2015 Steinruecken C, Ghahramani Z, MacKay D. Improving PPM with Dynamic Parameter Updates Data Compression Conference Proceedings. 2015: 193-202. DOI: 10.1109/DCC.2015.77  1
2015 Dziugaite GK, Roy DM, Ghahramani Z. Training generative neural networks via maximum mean discrepancy optimization Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, Uai 2015. 258-267.  1
2015 Hensman J, Matthews AG, Ghahramani Z. Scalable variational Gaussian process classification Journal of Machine Learning Research. 38: 351-360.  1
2015 Lloyd JR, Ghahramani Z. Statistical model criticism using kernel two sample tests Advances in Neural Information Processing Systems. 2015: 829-837.  1
2015 Shah A, Ghahramani Z. Parallel predictive entropy search for batch global optimization of expensive objective functions Advances in Neural Information Processing Systems. 2015: 3330-3338.  1
2015 Cunningham JP, Ghahramani Z. Linear dimensionality reduction: Survey, insights, and generalizations Journal of Machine Learning Research. 16: 2859-2900.  1
2015 Gal Y, Chen Y, Ghahramani Z. Latent Gaussian processes for distribution estimation of multivariate categorical data 32nd International Conference On Machine Learning, Icml 2015. 1: 645-654.  1
2015 Shah A, Knowles DA, Ghahramani Z. An empirical study of stochastic variational algorithms for the beta bernoulli process 32nd International Conference On Machine Learning, Icml 2015. 2: 1594-1603.  1
2015 Gu S, Ghahramani Z, Turner RE. Neural adaptive sequential Monte Carlo Advances in Neural Information Processing Systems. 2015: 2629-2637.  1
2015 Hernández-Lobato D, Hernández-Lobato JM, Ghahramani Z. A probabilistic model for dirty multi-task feature selection 32nd International Conference On Machine Learning, Icml 2015. 2: 1073-1082.  1
2015 Tripuraneni N, Gu S, Ge H, Ghahramani Z. Particle Gibbs for infinite Hidden Markov models Advances in Neural Information Processing Systems. 2015: 2395-2403.  1
2015 Ge H, Chen Y, Wan M, Ghahramani Z. Distributed inference for Dirichlet process mixture models 32nd International Conference On Machine Learning, Icml 2015. 3: 2266-2274.  1
2015 Hensman J, De Matthews AG, Filippone M, Ghahramani Z. MCMC for variationally sparse Gaussian processes Advances in Neural Information Processing Systems. 2015: 1648-1656.  1
2014 Houlsby N, Hernández-Lobato JM, Ghahramani Z. Cold-start active learning with robust ordinal matrix factorization 31st International Conference On Machine Learning, Icml 2014. 3: 1964-1972.  1
2014 Heaukulani C, Knowles DA, Ghahramani Z. Beta diffusion trees 31st International Conference On Machine Learning, Icml 2014. 5: 3821-3829.  1
2014 Hernández-Lobato JM, Houlsby N, Ghahramani Z. Stochastic inference for scalable probabilistic modeling of binary matrices 31st International Conference On Machine Learning, Icml 2014. 2: 1693-1710.  1
2014 Welling M, Ghahramani Z, Cortes C, Lawrence N, Weinberger K. Preface Advances in Neural Information Processing Systems. 1: xxxi-xxxiv.  1
2014 Lopez-Paz D, Sra S, Smola AJ, Ghahramani Z, Schölkopf B. Randomized nonlinear component analysis 31st International Conference On Machine Learning, Icml 2014. 4: 3196-3204.  1
2014 Wu Y, Lobato JMH, Ghahramani Z. Gaussian process volatility model Advances in Neural Information Processing Systems. 2: 1044-1052.  1
2014 Gal Y, Ghahramani Z. Pitfalls in the use of parallel inference for the dirichlet process 31st International Conference On Machine Learning, Icml 2014. 2: 1437-1445.  1
2014 Hernández-Lobato JM, Houlsby N, Ghahramani Z. Probabilistic matrix factorization with non-random missing data 31st International Conference On Machine Learning, Icml 2014. 4: 3394-3436.  1
2014 Bratières S, Quadrianto N, Nowozin S, Ghahramani Z. Scalable Gaussian process structured prediction for grid factor graph applications 31st International Conference On Machine Learning, Icml 2014. 2: 1625-1636.  1
2014 Hernández-Lobato JM, Hoffman MW, Ghahramani Z. Predictive entropy search for efficient global optimization of black-box functions Advances in Neural Information Processing Systems. 1: 918-926.  1
2014 Lloyd JR, Duvenaud D, Grosse R, Tenenbaum JB, Ghahramani Z. Automatic construction and natural-language description of nonparametric regression models Proceedings of the National Conference On Artificial Intelligence. 2: 1242-1250.  1
2014 Valera I, Ghahramani Z. General table completion using a Bayesian nonparametric model Advances in Neural Information Processing Systems. 2: 981-989.  1
2014 Palla K, Knowles DA, Ghahramani Z. A reversible infinite HMM using normalised random measures 31st International Conference On Machine Learning, Icml 2014. 5: 4090-4107.  1
2014 Duvenaud D, Rippel O, Adams RP, Ghahramani Z. Avoiding pathologies in very deep networks Journal of Machine Learning Research. 33: 202-210.  1
2014 Bargi A, Da Xu RY, Ghahramani Z, Piccardi M. A non-parametric conditional factor regression model for multi-dimensional input and response Journal of Machine Learning Research. 33: 77-85.  1
2014 Shah A, Wilson AG, Ghahramani Z. Student-t processes as alternatives to Gaussian processes Journal of Machine Learning Research. 33: 877-885.  1
2013 Darkins R, Cooke EJ, Ghahramani Z, Kirk PD, Wild DL, Savage RS. Accelerating Bayesian hierarchical clustering of time series data with a randomised algorithm. Plos One. 8: e59795. PMID 23565168 DOI: 10.1371/journal.pone.0059795  1
2013 Eaton F, Ghahramani Z. Model reductions for inference: generality of pairwise, binary, and planar factor graphs. Neural Computation. 25: 1213-60. PMID 23547951 DOI: 10.1162/NECO_a_00441  1
2013 Ghahramani Z. Bayesian non-parametrics and the probabilistic approach to modelling. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 371: 20110553. PMID 23277609 DOI: 10.1098/rsta.2011.0553  1
2013 Bousmalis K, Zafeiriou S, Morency LP, Pantic M, Ghahramani Z. Variational hidden conditional random fields with coupled Dirichlet Process Mixtures Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8189: 531-547. DOI: 10.1007/978-3-642-40991-2_34  1
2013 Quadrianto N, Sharmanska V, Knowles DA, Ghahramani Z. The supervised IBP: Neighbourhood preserving infinite latent feature models Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 527-536.  1
2013 Iwata T, Duvenaud D, Ghahramani Z. Warped mixtures for nonparametric cluster shapes Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 311-320.  1
2013 Shah A, Ghahramani Z. Determinantal clustering process - A nonparametric Bayesian approach to kernel based semi-supervised clustering Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 566-575.  1
2013 Heaukulani C, Ghahramani Z. Dynamic probabilistic models for latent feature propagation in social networks 30th International Conference On Machine Learning, Icml 2013. 275-283.  1
2013 Wu Y, Lobato JMH, Ghahramani Z. Dynamic covariance models for multivariate financial time series 30th International Conference On Machine Learning, Icml 2013. 1595-1603.  1
2013 Reed C, Ghahramani Z. Scaling the Indian buffet process via submodular maximization 30th International Conference On Machine Learning, Icml 2013. 2050-2058.  1
2013 Lopez-Paz D, Hernández-Lobato JM, Ghahramani Z. Gaussian process vine copulas for multivariate dependence 30th International Conference On Machine Learning, Icml 2013. 669-677.  1
2013 Duvenaud D, Lloyd JR, Grosse R, Tenenbaum JB, Ghahramani Z. Structure discovery in nonparametric regression through compositional kernel search 30th International Conference On Machine Learning, Icml 2013. 2203-2211.  1
2013 Iwata T, Houlsby N, Ghahramani Z. Active learning for interactive visualization Journal of Machine Learning Research. 31: 342-350.  1
2012 Kirk P, Griffin JE, Savage RS, Ghahramani Z, Wild DL. Bayesian correlated clustering to integrate multiple datasets. Bioinformatics (Oxford, England). 28: 3290-7. PMID 23047558 DOI: 10.1093/bioinformatics/bts595  1
2012 Sohn KA, Ghahramani Z, Xing EP. Robust estimation of local genetic ancestry in admixed populations using a nonparametric Bayesian approach. Genetics. 191: 1295-308. PMID 22649082 DOI: 10.1534/genetics.112.140228  1
2012 Bahramisharif A, Van Gerven MAJ, Schoffelen JM, Ghahramani Z, Heskes T. The dynamic beamformer Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7263: 148-155. DOI: 10.1007/978-3-642-34713-9_19  1
2012 Wilson AG, Ghahramani Z. Modelling input varying correlations between multiple responses Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7524: 858-861. DOI: 10.1007/978-3-642-33486-3_64  1
2012 Palla K, Knowles DA, Ghahramani Z. A nonparametric variable clustering model Advances in Neural Information Processing Systems. 4: 2987-2995.  1
2012 Lloyd JR, Orbanz P, Ghahramani Z, Roy DM. Random function priors for exchangeable arrays with applications to graphs and relational data Advances in Neural Information Processing Systems. 2: 998-1006.  1
2012 Houlsby N, Hernández-Lobato JM, Huszár F, Ghahramani Z. Collaborative Gaussian processes for preference learning Advances in Neural Information Processing Systems. 3: 2096-2104.  1
2012 Osborne MA, Duvenaud D, Garnett R, Rasmussen CE, Roberts SJ, Ghahramani Z. Active learning of model evidence using Bayesian quadrature Advances in Neural Information Processing Systems. 1: 46-54.  1
2012 Zhang Y, Sutton C, Storkey A, Ghahramani Z. Continuous relaxations for discrete Hamiltonian Monte Carlo Advances in Neural Information Processing Systems. 4: 3194-3202.  1
2012 Póczos B, Ghahramani Z, Schneider J. Copula-based kernel dependency measures Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 775-782.  1
2012 Mohamed S, Heller KA, Ghahramani Z. Bayesian and L 1 approaches for sparse unsupervised learning Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 751-758.  1
2012 Palla K, Knowles DA, Ghahramani Z. An infinite latent attribute model for network data Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1607-1614.  1
2012 Wilson AG, Knowles DA, Ghahramani Z. Gaussian process regression networks Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 599-606.  1
2012 Cunningham JP, Ghahramani Z, Rasmussen CE. Gaussian Processes for time-marked time-series data Journal of Machine Learning Research. 22: 255-263.  1
2012 Steinhardt J, Ghahramani Z. Flexible martingale priors for deep hierarchies Journal of Machine Learning Research. 22: 1108-1116.  1
2012 Kim HC, Ghahramani Z. Bayesian classifier combination Journal of Machine Learning Research. 22: 619-627.  1
2012 Niu D, Dy JG, Ghahramani Z. A nonparametric Bayesian model for multiple clustering with overlapping feature views Journal of Machine Learning Research. 22: 814-822.  1
2011 Knowles D, Ghahramani Z. Nonparametric Bayesian sparse factor models with application to gene expression modeling Annals of Applied Statistics. 5: 1534-1552. DOI: 10.1214/10-AOAS435  1
2011 Zabih R, Matas J, Ghahramani Z. State of the journal Ieee Transactions On Pattern Analysis and Machine Intelligence. 33: 1-2. DOI: 10.1109/TPAMI.2011.7  1
2011 Zabih R, Ghahramani Z, Kang SB, Matas J. IEEE Transactions on Pattern Analysis and Machine Intelligence: Editor's note Ieee Transactions On Pattern Analysis and Machine Intelligence. 33: 865-866. DOI: 10.1109/TPAMI.2011.60  1
2011 Zabih R, Ghahramani Z, Kang SB, Matas J. Editor's note Ieee Transactions On Pattern Analysis and Machine Intelligence. 33: 1697-1698. DOI: 10.1109/TPAMI.2011.139  1
2011 Van Gael J, Ghahramani Z. Nonparametric hidden Markov models Bayesian Time Series Models. 317-340. DOI: 10.1017/CBO9780511984679.016  1
2011 Abbott JT, Heller KA, Ghahramani Z, Griffiths TL. Testing a Bayesian measure of representativeness using a large image database Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2011 Lacoste-Julien S, Huszár F, Ghahramani Z. Approximate inference for the loss-calibrated Bayesian Journal of Machine Learning Research. 15: 416-424.  1
2011 Knowles DA, Van Gael J, Ghahramani Z. Message passing algorithms for dirichlet diffusion trees Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 721-728.  1
2011 Wilson AG, Ghahramani Z. Generalised Wishart processes Proceedings of the 27th Conference On Uncertainty in Artificial Intelligence, Uai 2011. 736-744.  1
2011 Knowles DA, Ghahramani Z. Pitman-Yor diffusion trees Proceedings of the 27th Conference On Uncertainty in Artificial Intelligence, Uai 2011. 410-418.  1
2011 Griffiths TL, Ghahramani Z. The Indian buffet process: An introduction and review Journal of Machine Learning Research. 12: 1185-1224.  1
2010 Silva R, Heller K, Ghahramani Z, Airoldi EM. RANKING RELATIONS USING ANALOGIES IN BIOLOGICAL AND INFORMATION NETWORKS. The Annals of Applied Statistics. 4: 615-644. PMID 24587838 DOI: 10.1214/09-AOAS321  1
2010 Savage RS, Ghahramani Z, Griffin JE, de la Cruz BJ, Wild DL. Discovering transcriptional modules by Bayesian data integration. Bioinformatics (Oxford, England). 26: i158-67. PMID 20529901 DOI: 10.1093/bioinformatics/btq210  1
2010 Stegle O, Denby KJ, Cooke EJ, Wild DL, Ghahramani Z, Borgwardt KM. A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 17: 355-67. PMID 20377450 DOI: 10.1089/cmb.2009.0175  1
2010 Lippert C, Ghahramani Z, Borgwardt KM. Gene function prediction from synthetic lethality networks via ranking on demand. Bioinformatics (Oxford, England). 26: 912-8. PMID 20154010 DOI: 10.1093/bioinformatics/btq053  1
2010 Rotsos C, Van Gael J, Moore AW, Ghahramani Z. Probabilistic graphical models for semi-supervised traffic classification Iwcmc 2010 - Proceedings of the 6th International Wireless Communications and Mobile Computing Conference. 752-757. DOI: 10.1145/1815396.1815569  1
2010 Zabih R, Matas J, Ghahramani Z. IEEE Transactions on Pattern Analysis and Machine Intelligence: Editor's Note Ieee Transactions On Pattern Analysis and Machine Intelligence. 32: 1345-1346. DOI: 10.1109/TPAMI.2010.124  1
2010 Turner R, Ghahramani Z, Bottone S. Fast online anomaly detection using scan statistics Proceedings of the 2010 Ieee International Workshop On Machine Learning For Signal Processing, Mlsp 2010. 385-390. DOI: 10.1109/MLSP.2010.5589151  1
2010 Bratières S, Van Gael J, Vlachos A, Ghahramani Z. Scaling the iHMM: Parallelization versus Hadoop Proceedings - 10th Ieee International Conference On Computer and Information Technology, Cit-2010, 7th Ieee International Conference On Embedded Software and Systems, Icess-2010, Scalcom-2010. 1235-1240. DOI: 10.1109/CIT.2010.223  1
2010 Williamson S, Orbanz P, Ghahramani Z. Dependent Indian buffet processes Journal of Machine Learning Research. 9: 924-931.  1
2010 Adams RP, Ghahramani Z, Jordan MI. Tree-structured stick breaking for hierarchical data Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Ghahramani Z. Bayesian hidden markov models and extensions: Invited talk Conll 2010 - Fourteenth Conference On Computational Natural Language Learning, Proceedings of the Conference. 56.  1
2010 Adams RP, Wallach HM, Ghahramani Z. Learning the structure of deep sparse graphical models Journal of Machine Learning Research. 9: 1-8.  1
2010 Wilson AG, Ghahramani Z. Copula processes Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Leskovec J, Chakrabarti D, Kleinberg J, Faloutsos C, Ghahramani Z. Kronecker graphs: An approach to modeling networks Journal of Machine Learning Research. 11: 985-1042.  1
2009 Rasmussen CE, de la Cruz BJ, Ghahramani Z, Wild DL. Modeling and visualizing uncertainty in gene expression clusters using dirichlet process mixtures. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 6: 615-28. PMID 19875860 DOI: 10.1109/TCBB.2007.70269  1
2009 Savage RS, Heller K, Xu Y, Ghahramani Z, Truman WM, Grant M, Denby KJ, Wild DL. R/BHC: fast Bayesian hierarchical clustering for microarray data. Bmc Bioinformatics. 10: 242. PMID 19660130 DOI: 10.1186/1471-2105-10-242  1
2009 Doshi-Velez F, Ghahramani Z. Accelerated sampling for the Indian buffet process Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 273-280. DOI: 10.1145/1553374.1553409  1
2009 Adams RP, Ghahramani Z. Archipelago: Nonparametric Bayesian semi-supervised learning Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 1-8. DOI: 10.1145/1553374.1553375  1
2009 Doshi-Velez F, Knowles D, Mohamed S, Ghahramani Z. Large scale nonparametric Bayesian inference: Data parallelisation in the Indian Buffet process Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1294-1302.  1
2009 Stepleton T, Ghahramani Z, Gordon G, Lee TS. The block diagonal infinite hidden Markov model Journal of Machine Learning Research. 5: 552-559.  1
2009 Xu Y, Heller KA, Ghahramani Z. Tree-based inference for dirichlet process mixtures Journal of Machine Learning Research. 5: 623-630.  1
2009 Stegle O, Denby KJ, McHattie S, Mead A, Wild DL, Ghahramani Z, Borgwardt KM. Discovering temporal patterns of differential gene expression in microarray time series Gcb 2009 - German Conference On Bioinformatics 2009. 133-142.  1
2009 Chu W, Ghahramani Z. Probabilistic models for incomplete multi-dimensional arrays Journal of Machine Learning Research. 5: 89-96.  1
2009 Van Gael J, Vlachos A, Ghahramani Z. The infinite HMM for unsupervised PoS tagging Emnlp 2009 - Proceedings of the 2009 Conference On Empirical Methods in Natural Language Processing: a Meeting of Sigdat, a Special Interest Group of Acl, Held in Conjunction With Acl-Ijcnlp 2009. 678-687.  1
2009 Silva R, Chu W, Ghahramani Z. Hidden common cause relations in relational learning Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 1
2009 Eaton F, Ghahramani Z. Choosing a variable to clamp: Approximate inference using conditioned belief propagation Journal of Machine Learning Research. 5: 145-152.  1
2009 Van Gael J, Teh YW, Ghahramani Z. The infinite factorial hidden Markov model Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1697-1704.  1
2009 Silva R, Ghahramani Z. Factorial mixture of Gaussians and the marginal independence model Journal of Machine Learning Research. 5: 520-527.  1
2009 Doshi-Velez F, Ghahramani Z. Correlated non-parametric latent feature models Proceedings of the 25th Conference On Uncertainty in Artificial Intelligence, Uai 2009. 143-150.  1
2009 Mohamed S, Heller K, Ghahramani Z. Bayesian exponential family PCA Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1089-1096.  1
2009 Lippert C, Stegle O, Ghahramani Z, Borgwardt KM. A kernel method for unsupervised structured network inference Journal of Machine Learning Research. 5: 368-375.  1
2009 Silva R, Ghahramani Z. The hidden life of latent variables: bayesian learning with mixed graph models Journal of Machine Learning Research. 10: 1187-1238.  1
2009 Adams RP, Ghahramani Z. Archipelago: Nonparametric Bayesian semi-supervised learning Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 1-8.  1
2008 Sung J, Ghahramani Z, Bang SY. Latent-space variational bayes. Ieee Transactions On Pattern Analysis and Machine Intelligence. 30: 2236-42. PMID 18988955 DOI: 10.1109/TPAMI.2008.157  1
2008 Kriegman DJ, Fleet D, Ghahramani Z. Editorial - State of the transactions Ieee Transactions On Pattern Analysis and Machine Intelligence. 30: 193-194. DOI: 10.1109/TPAMI.2008.13  1
2008 Sung J, Ghahramani Z, Bang SY. Second-order latent-space variational bayes for approximate bayesian inference Ieee Signal Processing Letters. 15: 918-921. DOI: 10.1109/LSP.2008.2001557  1
2008 Hübler C, Kriegel HP, Borgwardt K, Ghahramani Z. Metropolis algorithms for representative subgraph sampling Proceedings - Ieee International Conference On Data Mining, Icdm. 283-292. DOI: 10.1109/ICDM.2008.124  1
2008 Zhang J, Ghahramani Z, Yang Y. Flexible latent variable models for multi-task learning Machine Learning. 73: 221-242. DOI: 10.1007/s10994-008-5050-1  1
2008 Kim HC, Ghahramani Z. Outlier robust Gaussian process classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5342: 896-905. DOI: 10.1007/978-3-540-89689-0_93  1
2008 Heller KA, Williamson S, Ghahramani Z. Statistical models for partial membership Proceedings of the 25th International Conference On Machine Learning. 392-399.  1
2008 Van Gael J, Saatci Y, Teh YW, Ghahramani Z. Beam sampling for the infinite hidden Markov model Proceedings of the 25th International Conference On Machine Learning. 1088-1095.  1
2007 Beal MJ, Li J, Ghahramani Z, Wild DL. Reconstructing transcriptional networks using gene expression profiling and bayesian state-space models Introduction to Systems Biology. 217-241. DOI: 10.1007/978-1-59745-531-2_12  1
2007 Teh YW, Görür D, Ghahramani Z. Stick-breaking construction for the Indian buffet process Journal of Machine Learning Research. 2: 556-563.  1
2007 Knowles D, Ghahramani Z. Infinite sparse factor analysis and infinite independent components analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4666: 381-388.  1
2007 Snelson E, Ghahramani Z. Local and global sparse Gaussian process approximations Journal of Machine Learning Research. 2: 524-531.  1
2007 Chu W, Sindhwani V, Ghahramani Z, Keerthi SS. Relational learning with Gaussian processes Advances in Neural Information Processing Systems. 289-296.  1
2007 Silva R, Heller KA, Ghahramani Z. Analogical reasoning with relational Bayesian sets Journal of Machine Learning Research. 2: 500-507.  1
2007 Meeds E, Ghahramani Z, Neal R, Roweis S. Modeling dyadic data with binary latent factors Advances in Neural Information Processing Systems. 977-984.  1
2007 Heller KA, Ghahramani Z. A nonparametric Bayesian approach to modeling overlapping clusters Journal of Machine Learning Research. 2: 187-194.  1
2006 Kim HC, Ghahramani Z. Bayesian Gaussian process classification with the EM-EP algorithm. Ieee Transactions On Pattern Analysis and Machine Intelligence. 28: 1948-59. PMID 17108369 DOI: 10.1109/TPAMI.2006.238  1
2006 Chu W, Ghahramani Z, Krause R, Wild DL. Identifying protein complexes in high-throughput protein interaction screens using an infinite latent feature model. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 231-42. PMID 17094242  1
2006 Chu W, Ghahramani Z, Podtelezhnikov A, Wild DL. Bayesian segmental models with multiple sequence alignment profiles for protein secondary structure and contact map prediction. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 3: 98-113. PMID 17048397 DOI: 10.1109/TCBB.2006.17  1
2006 Beal MJ, Ghahramani Z. Variational Bayesian learning of directed graphical models with hidden variables Bayesian Analysis. 1: 793-832. DOI: 10.1214/06-BA126  1
2006 Azran A, Ghahramani Z. A new approach to data driven clustering Acm International Conference Proceeding Series. 148: 57-64. DOI: 10.1145/1143844.1143852  1
2006 Heller KA, Ghahramani Z. A simple bayesian framework for content-based image retrieval Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 2110-2117. DOI: 10.1109/CVPR.2006.41  1
2006 Azran A, Ghahramani Z. Spectral methods for automatic multiscale data clustering Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 190-197. DOI: 10.1109/CVPR.2006.289  1
2006 Kim HC, Kim D, Ghahramani Z, Bang SY. Appearance-based gender classification with Gaussian processes Pattern Recognition Letters. 27: 618-626. DOI: 10.1016/j.patrec.2005.09.027  1
2006 Wood F, Griffiths TL, Ghahramani Z. A non-parametric Bayesian method for inferring hidden causes Proceedings of the 22nd Conference On Uncertainty in Artificial Intelligence, Uai 2006. 536-543.  1
2006 Kim HC, Kim D, Ghahramani Z, Bang SY. Gender classification with Bayesian kernel methods Ieee International Conference On Neural Networks - Conference Proceedings. 3371-3376.  1
2006 Silva R, Ghahramani Z. Bayesian inference for Gaussian mixed graph models Proceedings of the 22nd Conference On Uncertainty in Artificial Intelligence, Uai 2006. 453-460.  1
2006 Chu W, Keerthi SS, Ong CJ, Ghahramani Z. Bayesian support vector machines for feature ranking and selection Studies in Fuzziness and Soft Computing. 207: 403-418.  1
2006 Murray I, Ghahramani Z, MacKay DJC. MCMC for doubly-intractable distributions Proceedings of the 22nd Conference On Uncertainty in Artificial Intelligence, Uai 2006. 359-366.  1
2006 Snelson E, Ghahramani Z. Variable noise and dimensionality reduction for sparse Gaussian processes Proceedings of the 22nd Conference On Uncertainty in Artificial Intelligence, Uai 2006. 461-468.  1
2006 Kurata D, Nankaku Y, Tokuda K, Kitamura T, Ghahramani Z. Face recognition based on separable lattice HMMS Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5: V737-V740.  1
2005 Penny W, Ghahramani Z, Friston K. Bilinear dynamical systems. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 360: 983-93. PMID 16087442 DOI: 10.1098/rstb.2005.1642  1
2005 Chu W, Ghahramani Z, Falciani F, Wild DL. Biomarker discovery in microarray gene expression data with Gaussian processes. Bioinformatics (Oxford, England). 21: 3385-93. PMID 15937031 DOI: 10.1093/bioinformatics/bti526  1
2005 Beal MJ, Falciani F, Ghahramani Z, Rangel C, Wild DL. A Bayesian approach to reconstructing genetic regulatory networks with hidden factors. Bioinformatics (Oxford, England). 21: 349-56. PMID 15353451 DOI: 10.1093/bioinformatics/bti014  1
2005 Heller KA, Ghahramani Z. Bayesian hierarchical clustering Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 297-304. DOI: 10.1145/1102351.1102389  1
2005 Sung J, Bang SY, Choi S, Ghahramani Z. u-likelihood and u-updating algorithms: Statistical inference in latent variable models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3720: 377-388.  1
2005 Snelson E, Ghahramani Z. Sparse Gaussian processes using pseudo-inputs Advances in Neural Information Processing Systems. 1257-1264.  1
2005 Ghahramani Z, Heller KA. Bayesian sets Advances in Neural Information Processing Systems. 435-442.  1
2005 Zhang J, Ghahramani Z, Yang Y. Learning multiple related tasks using latent Independent Component Analysis Advances in Neural Information Processing Systems. 1585-1592.  1
2005 Snelson E, Ghahramani Z. Compact approximations to Bayesian predictive distributions Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 841-848.  1
2005 Chu W, Ghahramani Z. Preference learning with Gaussian processes Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 137-144.  1
2005 Griffiths TL, Ghahramani Z. Infinite latent feature models and the Indian buffet process Advances in Neural Information Processing Systems. 475-482.  1
2005 Murray I, MacKay DJC, Ghahramani Z, Skilling J. Nested sampling for Potts models Advances in Neural Information Processing Systems. 947-954.  1
2005 Chu W, Ghahramani Z. Gaussian processes for ordinal regression Journal of Machine Learning Research. 6.  1
2005 Zhu X, Kandola J, Ghahramani Z, Lafferty J. Nonparametric transforms of graph kernels for semi-supervised learning Advances in Neural Information Processing Systems 1
2004 Todorov E, Ghahramani Z. Analysis of the synergies underlying complex hand manipulation. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 6: 4637-40. PMID 17271341 DOI: 10.1109/IEMBS.2004.1404285  1
2004 Dubey A, Hwang S, Rangel C, Rasmussen CE, Ghahramani Z, Wild DL. Clustering protein sequence and structure space with infinite Gaussian mixture models. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 399-410. PMID 14992520  1
2004 Bourne PE, Allerston CK, Krebs W, Li W, Shindyalov IN, Godzik A, Friedberg I, Liu T, Wild D, Hwang S, Ghahramani Z, Chen L, Westbrook J. The status of structural genomics defined through the analysis of current targets and structures. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 375-86. PMID 14992518  1
2004 Rangel C, Angus J, Ghahramani Z, Lioumi M, Sotheran E, Gaiba A, Wild DL, Falciani F. Modeling T-cell activation using gene expression profiling and state-space models. Bioinformatics (Oxford, England). 20: 1361-72. PMID 14962938 DOI: 10.1093/bioinformatics/bth093  1
2004 Thrun S, Liu Y, Koller D, Ng AY, Ghahramani Z, Durrant-Whyte H. Simultaneous localization and mapping with sparse extended information filters International Journal of Robotics Research. 23: 693-716. DOI: 10.1177/0278364904045479  1
2004 Thrun S, Koller D, Ghahramani Z, Durrant-Whyte H, Ng AY. Simultaneous mapping and localization with sparse extended information filters: Theory and initial results Springer Tracts in Advanced Robotics. 7: 363-380. DOI: 10.1007/978-3-540-45058-0_22  1
2004 Ghahramani Z. Unsupervised learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3176: 72-112.  1
2004 Qi Y, Minka TP, Picard RW, Ghahramani Z. Predictive automatic relevance determination by expectation propagation Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 671-678.  1
2004 Chu W, Ghahramani Z, Wild DL. A graphical model for protein secondary structure prediction Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 161-168.  1
2004 Snelson E, Rasmussen CE, Ghahramani Z. Warped Gaussian processes Advances in Neural Information Processing Systems 1
2003 Todorov E, Ghahramani Z. Unsupervised Learning of Sensory-Motor Primitives Annual International Conference of the Ieee Engineering in Medicine and Biology - Proceedings. 2: 1750-1753.  1
2003 Zhu X, Ghahramani Z, Lafferty J. Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions Proceedings, Twentieth International Conference On Machine Learning. 2: 912-919.  1
2003 Salakhutdinov R, Roweis S, Ghahramani Z. Optimization with EM and Expectation-Conjugate-Gradient Proceedings, Twentieth International Conference On Machine Learning. 2: 672-679.  1
2003 Jin R, Ghahramani Z. Learning with multiple labels Advances in Neural Information Processing Systems 1
2003 Rasmussen CE, Ghahramani Z. Bayesian Monte Carlo Advances in Neural Information Processing Systems 1
2002 Ueda N, Ghahramani Z. Bayesian model search for mixture models based on optimizing variational bounds. Neural Networks : the Official Journal of the International Neural Network Society. 15: 1223-41. PMID 12425440 DOI: 10.1016/S0893-6080(02)00040-0  1
2002 Raval A, Ghahramani Z, Wild DL. A Bayesian network model for protein fold and remote homologue recognition. Bioinformatics (Oxford, England). 18: 788-801. PMID 12075014  1
2002 Korenberg AT, Ghahramani Z. A Bayesian view of motor adaptation Cahiers De Psychologie Cognitive. 21: 537-564.  1
2002 Beal MJ, Ghahramani Z, Rasmussen CE. The infinite hidden markov model Advances in Neural Information Processing Systems 1
2002 Rasmussen CE, Ghahramani Z. Infinite mixtures of Gaussian process experts Advances in Neural Information Processing Systems 1
2001 Wolpert DM, Ghahramani Z, Flanagan JR. Perspectives and problems in motor learning. Trends in Cognitive Sciences. 5: 487-494. PMID 11684481 DOI: 10.1016/S1364-6613(00)01773-3  1
2001 Ghahramani Z. An introduction to hidden Markov models and Bayesian networks International Journal of Pattern Recognition and Artificial Intelligence. 15: 9-42. DOI: 10.1142/S0218001401000836  1
2001 Ghahramani Z, Beal MJ. Propagation algorithms for variational Bayesian learning Advances in Neural Information Processing Systems 1
2001 Rasmussen CE, Ghahramani Z. Occam's razor Advances in Neural Information Processing Systems 1
2000 Wolpert DM, Ghahramani Z. Computational principles of movement neuroscience. Nature Neuroscience. 3: 1212-7. PMID 11127840 DOI: 10.1038/81497  1
2000 Ghahramani Z. Computational neuroscience. Building blocks of movement. Nature. 407: 682-3. PMID 11048700 DOI: 10.1038/35037690  1
2000 Ueda N, Nakano R, Ghahramani Z, Hinton GE. SMEM algorithm for mixture models. Neural Computation. 12: 2109-28. PMID 10976141  1
2000 Ghahramani Z, Hinton GE. Variational learning for switching state-space models. Neural Computation. 12: 831-64. PMID 10770834  1
2000 Ueda N, Nakano R, Ghahramani Z, Hinton GE. Split and merge EM algorithm for improving Gaussian mixture density estimates Journal of Vlsi Signal Processing Systems For Signal, Image, and Video Technology. 26: 133-140.  1
2000 Hinton GE, Ghahramani Z, Teh YW. Learning to parse images Advances in Neural Information Processing Systems. 463-469.  1
2000 Ghahramani Z, Beai MJ. Variational inference for Bayesian mixtures of factor analysers Advances in Neural Information Processing Systems. 449-455.  1
1999 Roweis S, Ghahramani Z. A unifying review of linear gaussian models. Neural Computation. 11: 305-45. PMID 9950734  1
1999 Jordan MI, Ghahramani Z, Jaakkola TS, Saul LK. Introduction to variational methods for graphical models Machine Learning. 37: 183-233. DOI: 10.1023/A:1007665907178  1
1999 Ghahramani Z, Roweis ST. Learning nonlinear dynamical systems using an EM algorithm Advances in Neural Information Processing Systems. 431-437.  1
1998 Ghahramani Z, Hinton GE. Hierarchical non-linear factor analysis and topographic maps Advances in Neural Information Processing Systems. 486-492.  1
1997 Hinton GE, Ghahramani Z. Generative models for discovering sparse distributed representations. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 352: 1177-90. PMID 9304685 DOI: 10.1098/rstb.1997.0101  1
1997 Ghahramani Z, Wolpert DM. Modular decomposition in visuomotor learning. Nature. 386: 392-5. PMID 9121554 DOI: 10.1038/386392a0  1
1997 Ghahramani Z, Wolpert DM, Michale I. J. Computational models of sensorimotor integration Advances in Psychology. 119: 117-147. DOI: 10.1016/S0166-4115(97)80006-4  1
1997 Ghahramani Z, Jordan MI. Factorial Hidden Markov Models Machine Learning. 29: 245-273.  1
1996 Ghahramani Z, Wolpert DM, Jordan MI. Generalization to local remappings of the visuomotor coordinate transformation. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 16: 7085-96. PMID 8824344  1
1996 Cohn DA, Ghahramani Z, Jordan MI. Active learning with statistical models Journal of Artificial Intelligence Research. 4: 129-145.  1
1995 Wolpert DM, Ghahramani Z, Jordan MI. Are arm trajectories planned in kinematic or dynamic coordinates? An adaptation study. Experimental Brain Research. 103: 460-70. PMID 7789452 DOI: 10.1007/BF00241505  1
1995 Wolpert DM, Ghahramani Z, Jordan MI. An internal model for sensorimotor integration. Science (New York, N.Y.). 269: 1880-2. PMID 7569931  1
1994 Wolpert DM, Ghahramani Z, Jordan MI. Perceptual distortion contributes to the curvature of human reaching movements. Experimental Brain Research. 98: 153-6. PMID 8013583 DOI: 10.1007/BF00229120  1
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