Publications by Prof. Z. Ghahramani

Number of items: 282.

Article

Ghahramani, Z (2013) Bayesian non-parametrics and the probabilistic approach to modelling. Philos Transact A Math Phys Eng Sci, 371. 20110553-. ISSN 1364-503X

Williamson, S and Ghahramani, Z and MacEachern, SN and Xing, EP (2012) Restricting exchangeable nonparametric distributions.

Sohn, KA and Ghahramani, Z and Xing, EP (2012) Robust estimation of local genetic ancestry in admixed populations using a nonparametric Bayesian approach. Genetics, 191. pp. 1295-1308.

Lacoste-Julien, S and Palla, K and Davies, A and Kasneci, G and Graepel, T and Ghahramani, Z (2012) SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases. arXiv.

Iwata, T and Duvenaud, D and Ghahramani, Z (2012) Nonparametric Bayesian Clustering via Infinite Warped Mixture Models.

Palla, K and Knowles, D and Ghahramani, Z (2012) An Infinite Latent Attribute Model for Network Data. International Conference on Machine Learning.

Poczos, B and Ghahramani, Z and Schneider, J (2012) Copula-based Kernel Dependency Measures. International Conference on Machine Learning.

Kirk, P and Griffin, JE and Savage, RS and Ghahramani, Z and Wild, DL (2012) Bayesian correlated clustering to integrate multiple datasets. Bioinformatics, 28. pp. 3290-3297.

Murray, I and Ghahramani, Z (2012) Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms. CoRR, abs/12.

Steinhardt, J and Ghahramani, Z (2012) Flexible Martingale Priors for Deep Hierarchies. Journal of Machine Learning Research, 22. pp. 1108-1116.

Cunningham, J and Ghahramani, Z and Rasmussen, CE (2012) Gaussian Processes for time-marked time-series data. Journal of Machine Learning Research, 22. pp. 255-263.

Niu, D and Dy, JG and Ghahramani, Z (2012) A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views. Journal of Machine Learning Research, 22. pp. 814-822.

Mohamed, S and Heller, K and Ghahramani, Z (2011) Bayesian and L1 Approaches to Sparse Unsupervised Learning.

Knowles, DA and Ghahramani, Z (2011) Pitman-Yor Diffusion Trees.

Zabih, R and Ghahramani, Z and Kang, SB and Matas, J (2011) Untitled. IEEE T PATTERN ANAL, 33. pp. 865-866. ISSN 0162-8828

Griffiths, TL and Ghahramani, Z (2011) The Indian Buffet Process: An Introduction and Review. J MACH LEARN RES, 12. pp. 1185-1224. ISSN 1532-4435

Houlsby, N and Huszár, F and Ghahramani, Z and Lengyel, M (2011) Bayesian Active Learning for Classification and Preference Learning.

Wilson, AG and Knowles, DA and Ghahramani, Z (2011) Gaussian Process Regression Networks.

Lacoste-Julien, S and Huszar, F and Ghahramani, Z (2011) Approximate inference for the loss-calibrated Bayesian. Journal of Machine Learning Research - Proceedings Track, 15. pp. 416-424.

Zabih, R and Ghahramani, Z and Kang, SB and Matas, J (2011) Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell., 33. pp. 865-866.

Zabih, R and Matas, J and Ghahramani, Z (2011) State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell., 33. pp. 1-2.

Wilson, AG and Ghahramani, Z (2010) Copula Processes.

Adams, RP and Ghahramani, Z and Jordan, MI (2010) Tree-Structured Stick Breaking Processes for Hierarchical Data.

Savage, RS and Ghahramani, Z and Griffin, JE and de la Cruz, BJ and Wild, DL (2010) Discovering transcriptional modules by Bayesian data integration. Bioinformatics, 26. i158-i167.

Silva, R and Heller, K and Ghahramani, Z and Airoldi, EM (2010) RANKING RELATIONS USING ANALOGIES IN BIOLOGICAL AND INFORMATION NETWORKS. ANN APPL STAT, 4. pp. 615-644. ISSN 1932-6157

Lippert, C and Ghahramani, Z and Borgwardt, KM (2010) Gene function prediction from synthetic lethality networks via ranking on demand. Bioinformatics, 26. pp. 912-918.

Stegle, O and Denby, KJ and Cooke, EJ and Wild, DL and Ghahramani, Z and Borgwardt, KM (2010) A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series. J Comput Biol, 17. pp. 355-367.

Leskovec, J and Chakrabarti, D and Kleinberg, J and Faloutsos, C and Ghahramani, Z (2010) Kronecker Graphs: An Approach to Modeling Networks. J MACH LEARN RES, 11. pp. 985-1042. ISSN 1532-4435

Wilson, AG and Ghahramani, Z (2010) Generalised Wishart Processes. Uncertainty in Artificial Intelligence (2011).

Knowles, D and Ghahramani, Z (2010) Nonparametric Bayesian sparse factor models with application to gene expression modeling. Annals of Applied Statistics 2011, Vol. 5, No. 2B, 1534-1552.

Williamson, S and Orbanz, P and Ghahramani, Z (2010) Dependent Indian Buffet Processes. Journal of Machine Learning Research - Proceedings Track, 9. pp. 924-931.

Zabih, R and Matas, J and Ghahramani, Z (2010) Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell., 32. p. 769.

Zabih, R and Matas, J and Ghahramani, Z (2010) Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell., 32. pp. 1345-1346.

Zabih, R and Matas, J and Ghahramani, Z (2010) Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell., 32. p. 1729.

Adams, RP and Wallach, HM and Ghahramani, Z (2010) Learning the Structure of Deep Sparse Graphical Models. Journal of Machine Learning Research - Proceedings Track, 9. pp. 1-8.

Bratières, S and Van Gael, J and Vlachos, A and Ghahramani, Z (2010) 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. pp. 1235-1240.

Savage, R and Heller, KA and Xu, Y and Ghahramani, Z and Truman, W and Grant, M and Denby, K and Wild, DL (2009) R/BHC: fast Bayesian hierarchical clustering for microarray data. BMC Bioinformatics 2009, 10. ISSN 1471-2105

Borgwardt, KM and Ghahramani, Z (2009) Bayesian two-sample tests.

Adams, RP and Wallach, HM and Ghahramani, Z (2009) Learning the Structure of Deep Sparse Graphical Models.

Eaton, F and Ghahramani, Z (2009) Choosing a Variable to Clamp. Journal of Machine Learning Research - Proceedings Track, 5. pp. 145-152.

Zabih, R and Ghahramani, Z and Matas, J (2009) Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell., 31. pp. 961-963.

Zabih, R and Matas, J and Ghahramani, Z (2009) Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell., 31. pp. 1345-1346.

Silva, R and Ghahramani, Z (2009) The hidden life of latent variables: Bayesian learning with mixed graph models. Journal of Machine Learning Research, 10. pp. 1187-1238. ISSN 1532-4435

Van Gael, J and Vlachos, A and Ghahramani, Z (2009) 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. pp. 678-687.

Kriegman, DJ and Fleet, D and Ghahramani, Z (2008) Introduction of new associate editors. IEEE T PATTERN ANAL, 30. p. 561. ISSN 0162-8828

Sung, JM and Ghahramani, Z and Bang, SY (2008) Second-order latent space variational bayes for approximate bayesian inference. IEEE Signal Processing Letters, 15. pp. 918-921. ISSN 1070-9908

Zhang, J and Ghahramani, Z and Yang, YM (2008) Flexible latent variable models for multi-task learning. MACH LEARN, 73. pp. 221-242. ISSN 0885-6125

Sung, JM and Ghahramani, Z and Bang, SY (2008) Latent space variational bayes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30. pp. 2236-2242. ISSN 0162-8828

Kriegman, DJ and Fleet, DJ and Ghahramani, Z (2008) Editorial-State of the Transactions. IEEE Trans. Pattern Anal. Mach. Intell., 30. pp. 193-194.

Zhang, J and Ghahramani, Z and Yang, Y (2008) Flexible latent variable models for multi-task learning. Machine Learning, 73. pp. 221-242. ISSN 0885-6125

Kriegman, DJ and Fleet, DJ and Ghahramani, Z (2008) Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell., 30. pp. 1505-1506.

Kriegman, DJ and Fleet, DJ and Ghahramani, Z (2008) Introduction of New Associate Editors. IEEE Trans. Pattern Anal. Mach. Intell., 30. pp. 2065-2066.

Rasmussen, CE and de la Cruz, BJ and Ghahramani, Z and Wild, DL (2008) Modeling and visualizing uncertainty in gene expression clusters using dirichlet process mixtures. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 6. pp. 615-628. ISSN 1545-5963

Silva, R and Heller, KA and Ghahramani, Z (2007) Analogical Reasoning with Relational Bayesian Sets. Journal of Machine Learning Research - Proceedings Track, 2. pp. 500-507.

Podtelezhnikov, AA and Ghahramani, Z and Wild, DA (2007) Learning about protein hydrogen bonding by minimizing contrastive divergence. Proteins: Structure, Function, and Bioinformatics, 66. pp. 588-599. ISSN 0887-3585

Snelson, E and Ghahramani, Z (2007) Local and global sparse Gaussian process approximations. Journal of Machine Learning Research - Proceedings Track, 2. pp. 524-531.

Heller, KA and Ghahramani, Z (2007) A Nonparametric Bayesian Approach to Modeling Overlapping Clusters. Journal of Machine Learning Research - Proceedings Track, 2. pp. 187-194.

Teh, YW and Görür, D and Ghahramani, Z (2007) Stick-breaking Construction for the Indian Buffet Process. Journal of Machine Learning Research - Proceedings Track, 2. pp. 556-563.

Kim, HC and Kim, D and Ghahramani, Z and Bang, SY (2006) Appearance-based gender classification with Gaussian processes. Pattern Recognition Letters, 27. pp. 618-626. ISSN 0167-8655

KIM, HC and Ghahramani, Z (2006) Bayesian gaussian process classification with the EM-EP algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28. pp. 1948-1959. ISSN 0162-8828

Chu, W and Ghahramani, Z and Wild, DL (2006) Bayesian segmental models with multiple sequence alignment profiles for protein secondary structure and contact map prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 3. pp. 98-113. ISSN 1545-5963

Beal, MJ and Ghahramani, Z (2006) Variational Bayesian learning of directed graphical models with hidden variables. Bayesian Analysis, 1. pp. 793-832. ISSN 1936-0975

Chu, W and Ghahramani, Z (2005) Gaussian processes for ordinal regression. Journal of Machine Learning Research, 6. pp. 1019-1042. ISSN 1532-4435

Beal, MJ and Falciani, FL and Ghahramani, Z and Rangel, C and Wild, DL (2005) A Bayesian approach to reconstructing genetic regulatory networks with hidden factors. Bioinformatics, 21. pp. 349-356. ISSN 1367-4803

Penny, W and Ghahramani, Z and Friston, K (2005) Bilinear dynamical systems. Philisophical Transactions of the Royal Society of London, Series B: Biological Sciences, 360. pp. 983-994. ISSN 0962-8436

Chu, W and Ghahramani, Z and Falciani, F and Wild, DL (2005) Biomarker discovery in microarray gene expression data with Gaussian processes. Bioinformatics, 21. pp. 3385-3393. ISSN 1367-4803

Thrun, S and Liu, Y and Koller, D and Ng, AY and Ghahramani, Z and Durrant Whyte, H (2004) Simultaneous localization and mapping with sparse extended information filters. International Journal of Robotics Research, 23. pp. 693-716. ISSN 0278-3649

Rangel, C and Angus, J and Ghahramani, Z and Lioumi, M and Southeran, E and Gaiba, A and Wild, DL and Falciani, F (2004) Modeling T-cell activation using gene expression profiling and state space models. Bioinformatics, 20. pp. 1361-1372. ISSN 1367-4803

Rangel, C and Angus, J and Ghahramani, Z and Lioumi, M and Southeran, E and Gaiba, A and Wild, DL and Falciani, F (2004) Modeling T-cell activation using gene expression profiling and state-space models. Bioinformatics, 20. pp. 1361-1372. ISSN 1367-4803

Todorov, E and Ghahramani, Z (2003) Unsupervised learning of sensory-motor primitives. IEEE Engineering in Medicine and Biology Society: Proceedings of the 25th Annual International Conference of the IEEE, 25. pp. 1750-1753. ISSN 1094-687X

Korenberg, AT and Ghahramani, Z (2002) A Bayesian view of motor adaptation. CAH PSYCHOL COGN, 21. pp. 537-564. ISSN 0249-9185

Ueda, N and Ghahramani, Z (2002) Bayesian model search for mixture models based on optimizing variational bounds. Neural Networks, 15. pp. 1223-1241. ISSN 0893-6080

Raval, A and Ghahramani, Z and Wild, DL (2002) A Bayesian network model for protein fold and remote homologue recognition. Bioinformatics, 18. pp. 788-801. ISSN 1460-2059

Korenberg, AT and Ghahramani, Z (2002) A Bayesian view of motor adaptation. Current Psychology of Cognition, 21. pp. 537-564. ISSN 0249-9185

Wolpert, DM and Ghahramani, Z and Flanagan, JR (2001) Perspectives and problems in motor learning. Trends in Cognitive Sciences, 5. pp. 487-494. ISSN 1364-6613

Ghahramani, Z (2001) An introduction to hidden Markov models and Bayesian networks. International Journal of Pattern Recognition and Artificial Intelligence, 15. pp. 9-42. ISSN 0218-0014

Ghahramani, Z (2000) Computational neuroscience: building blocks of movement. Nature, 407. pp. 682-683. ISSN 0028-0836

Wolpert, DM and Ghahramani, Z (2000) Computational principles of movement neuroscience. Nature Neuroscience, 3. pp. 1212-1217. ISSN 1097-6256

Ueda, N and Nakano, R and Ghahramani, Z and Hinton, GE (2000) SMEM algorithm for mixture models. Neural Computation, 12. pp. 2109-2128. ISSN 0899-7667

Ueda, N and Nakano, R and Ghahramani, Z and Hinton, GE (2000) Split and merge EM algorithm for improving Gaussian mixture density estimates. Journal of VLSI Signal Processing, 26. pp. 133-140. ISSN 0922-5773

Ghahramani, Z (2000) Variational Bayesian learning. Bulletin of the Italian Artificial Intelligence Association (AI/IA Notizie), 13. pp. 13-18.

Ghahramani, Z and Hinton, GE (2000) Variational learning for switching state-space models. Neural Computation, 12. pp. 831-864. ISSN 0899-7667

Roweis, ST and Ghahramani, Z (1999) A Unifying Review of Linear Gaussian Models. Neural Computation, 11. pp. 305-345. ISSN 0899-7667

Jordan, MI and Ghahramani, Z and Jaakola, TS and Saul, LK (1999) An introduction to variational methods for graphical models. Machine Learning, 37. pp. 183-233. ISSN 0885-6125

Hinton, GE and Ghahramani, Z (1997) Generative models for discovering sparse distributed representations. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences, 352. pp. 1177-1190. ISSN 0962-8436

Ghahramani, Z and Wolpert, DM (1997) Modular decomposition in visuomotor learning. Nature, 386. pp. 392-394. ISSN 0028-0836

Ghahramani, Z and Jordan, MI (1997) Factorial hidden Markov models. Machine Learning, 29. pp. 245-273. ISSN 0885-6125

Ghahramani, Z and Wolpert, DM (1997) Modular decomposition in visuomotor learning. Nature - London, 386. pp. 392-395. ISSN 0028-0836

Ghahramani, Z and Wolpert, DM and Jordan, MI (1996) Generalization to local remappings of the visuomotor coordinate transformation. Journal of Neuroscience, 16. pp. 7085-7096. ISSN 0270-6474

Cohn, DA and Ghahramani, Z and Jordan, MI (1996) Active Learning with Statistical Models. CoRR, cs.AI/.

Cohn, DA and Ghahramani, Z and Jordan, MI (1996) Active learning with statistical models. Journal of Artificial Intelligence Research, 4. pp. 129-145. ISSN 1076-9757

Ghahramani, Z and Wolpert, DM and Jordan, MI (1996) Generalization to local remappings of the visuomotor coordinate transformation. Journal of Neuroscience, 16. pp. 7085-7096. ISSN 0270-6474

Wolpert, DM and Ghahramani, Z and Jordan, MI (1995) An internal model for sensorimotor integration. Science, 269. pp. 1880-1882. ISSN 0036-8075

Wolpert, DM and Ghahramani, Z and Jordan, MI (1995) Are arm trajectories planned in kinematic or dynamic coordinates? An adaptation study. Experimental Brain Research, 103. pp. 460-470. ISSN 0014-4819

Ghahramani, Z and Wolpert, DM and Jordan, MI (1995) Computational principles of multisensory integration: studies of adaptation to novel visuo-auditory remappings. Society for Neuroscience Abstracts, 21. p.1181-.

Wolpert, DM and Ghahramani, Z and Jordan, MI (1995) An internal model for sensorimotor integration. Science, 269. pp. 1880-1882. ISSN 0036-8075

Wolpert, DM and Ghahramani, Z and Jordan, MI (1994) Perceptual distortion contributes to the curvature of human reaching movements. Experimental Brain Research, 98. pp. 153-156. ISSN 0014-4819

Book

Ghahramani, Zoubin, ed. (2007) ICML 2007: Proceedings of the 24th International Conference on Machine Learning, Corvallis, Oregon, USA, 20-24 June 2007. Omni Press, -.

Ghahramani, Zoubin, ed. (2005) Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics (AISTATS 2005). The Society for Artificial Intelligence and Statistics.

Ghahramani, Zoubin, ed. (2002) Proceedings of the 15th International Conference on Neural Information Processing Systems. Advances in Neural Information Processing Systems, 14 . MIT Press, Cambridge, MA, USA, -.

Book Section

Perez Cruz, F and Ghahramani, Z and Pontil, M (2007) Kernel conditional graphical models. In: Predicting Structured Data. MIT Press, Cambridge, MA, USA, pp. 265-282.

Ghahramani, Z and Heller, KA (2006) Bayesian sets. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 435-442. ISBN 9780262232531

Chu, W and Keerthi, SS and Ong, CJ and Ghahramani, Z (2006) Bayesian support vector machines for feature ranking and selection. In: Feature Extraction, Foundations and Applications. Studies in Fuzziness and Soft Computing, 207 . Springer, pp. 403-416.

Zhu, X and Kandola, J and Lafferty, J and Ghahramani, Z (2006) Graph kernels by spectral transforms. In: Semi-Supervised Learning, Chapter 15. MIT Press, Cambridge, MA, USA, pp. 277-289.

Griffiths, TL and Ghahramani, Z (2006) Infinite latent feature models and the Indian buffet process. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 475-482. ISBN 9780262232531

Zhang, J and Ghahramani, Z and Yang, Y (2006) Learning multiple related tasks using latent independent component analysis. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 1585-1592. ISBN 9780262232531

Murray, I and McKay, DJC and Ghahramani, Z (2006) Nested sampling for Potts models. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 947-954. ISBN 9780262232531

Snelson, E and Ghahramani, Z (2006) Sparse Gaussian processes using pseudo-inputs. In: Advances in Neural Information Processing Systems 18. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 1257-1264. ISBN 9780262232531

Rangel, C and Angus, J and Ghahramani, Z and Wild, DL (2005) Modeling genetic regulatory networks using gene expression profiling and state space models. In: Probabilistic Modelling in Bioinformatics and Medical Informatics. Springer, pp. 269-293.

Zhu, X and Kandola, J and Ghahramani, Z and Lafferty, J (2005) Nonparametric transforms of graph kernels for semi-supervised learning. In: Advances in Neural Information Processing Systems 17. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 1641-1648. ISBN 9780262195348

Beal, MJ and Li, J and Ghahramani, Z and Wild, DL (2005) Reconstructing transcriptional networks using gene expression profiling and Bayesian state space models. In: Introduction to Systems Biology. Humana Press (Springer), Chapter 12-.

Zhang, J and Ghahramani, Z and Yang, Y (2005) A probabilistic model for online document clustering with application to novelty detection. In: Advances in Neural Information Processing Systems 17. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 1617-1624. ISBN 9780262195348

Wolpert, DM and Ghahramani, Z (2004) Bayes rule in perception, action and cognition. In: The Oxford Companion to the Mind. Oxford University Press.

Wolpert, DM and Ghahramani, Z (2004) Computational motor control. In: The Cognitive Neurosciences. MIT Press, Cambridge, MA, USA.

Thrun, S and Koller, D and Ghahramani, Z and Durrant Whyte, H and Ng, AY (2004) Simultaneous mapping and localization with sparse extended information filters. In: Algorithmic Foundations of Robotics V. Springer Tracts in Advanced Robotics . Springer, pp. 363-380.

Ghahramani, Z (2004) Unsupervised learning. In: Advanced Lectures on Machine Learning: ML Summer Schools 2003. Lecture Notes in Computer Science: Lecture Notes in Artificial Intelligence, 3176 . Springer, Berlin, Germany, pp. 72-112. ISBN 3540231226

Ghahramani, Z (2003) Information theory. In: Encyclopedia of Cognitive Science. Nature Publishing Group, London, UK.

Jin, R and Ghahramani, Z (2003) Learning with multiple labels. In: Advances in Neural Information Processing Systems 15. MIT Press, Cambridge, MA, USA, pp. 921-928.

Wolpert, DM and Ghahramani, Z (2003) Motor learning models. In: Encyclopedia of Cognitive Science. Nature Publishing Group, London, UK.

Ghahramani, Z (2002) Graphical models: parameter learning. In: The Handbook of Brain Theory and Neural Networks. Bradford Books . MIT Press.

Ghahramani, Z and Beal, MJ (2001) Graphical models and variational methods. In: Advanced Mean Field Methods: Theory and Practice. Neural Information Processing Series . MIT Press, Cambridge, MA, USA, pp. 161-177.

Roweis, ST and Ghahramani, Z (2001) Learning nonlinear dynamical systems using the expectation-maximization algorithm. In: Kalman Filtering and Neural Networks. Wiley and Sons, pp. 175-220.

Ghahramani, Z and Beal, MJ (2001) Propagation algorithms for variational Bayesian learning. In: Advances in Neural Information Processing Systems 13. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 507-513. ISBN 0262122413,9780262122412

Ghahramani, Z (2001) An introduction to hidden Markov models and Bayesian networks. In: Hidden Markov Models: Applications in Computer Vision. Series in Machine Perception and Artificial Intelligence, 45 . World Scientific Publishing, -.

Hinton, GE and Ghahramani, Z and Teh, YN (2000) Learning to parse images. In: Advances in Neural Information Processing Systems 12. Bradford Series . MIT Press, pp. 463-469. ISBN 9780262194501

Wolpert, DM and Ghahramani, Z (2000) Maps, modules, and internal models in human motor control. In: Biomechanics and Neural Control of Posture and Movement, Chapter 23. Springer, New York, USA, pp. 317-324.

Ghahramani, Z and Beal, MJ (2000) Variational inference for Bayesian mixture of factor analysers. In: Advances in Neural Information Processing Systems 12. Bradford Series . MIT Press, pp. 449-455. ISBN 9780262194501

Ghahramani, Z and Roweis, S (1999) Learning nonlinear dynamical systems using an EM algorithm. In: Advances in Neural Information Processing Systems 11. MIT Press, Cambridge, MA, USA, pp. 431-437. ISBN 0262112450,9780262112451

Ueda, N and Nakano, R and Ghahramani, Z and Hinton, GE (1999) SMEM algorithm for mixture models. In: Advances in Neural Information Processing Systems 11. MIT Press, Cambridge, MA, USA, pp. 599-605. ISBN 9780262112451

Ghahramani, Z (1999) Time for bayes: comments to Amari and Kohonen. In: Bulletin of the 52nd Seesion of the International Statistical Institute. International Statistical Institute, Finland, pp. 115-116.

Ghahramani, Z and Hinton, GE (1998) Hierarchical non-linear factor analysis and topographic maps. In: Advances in Neural Information Processing Systems 10. Bradford Series . MIT Press, Cambridge, MA, USA, Part III-. ISBN 9780262100762

Ghahramani, Z (1998) Learning dynamic Bayesian networks. In: Adaptive Processing of Sequences and Data Structures: International Summer School on Neural Networks. Lecture Notes in Computer Science: Lecture notes in Artificial Intelligence, 1387 . Springer, Berlin, Germany, pp. 168-197. ISBN 3540643419

Sallans, B and Hinton, GE and Ghahramani, Z (1998) A hierarchical community of experts. In: Neural Networks and Machine Learning. NATO ASI Series F: Computer and Systems Sciences . Springer, Berlin, Germany, pp. 269-284.

Hinton, GE and Sallans, B and Ghahramani, Z (1998) A hierarchical community of experts. In: Learning in Graphical Models. NATO ASI Series D: Behavioural and Social Sciences, 89 . Kluwer Academic Publishers, Boston, MA, USA, pp. 474-494.

Jordan, MI and Ghahramani, Z and Jaakola, TS and Saul, LK (1998) An introduction to variational methods in graphical models. In: Learning in Graphical Models. NATO ASI Series D: Behavioural and Social Sciences, 89 . Kluwer Academic Publishers, Boston, MA, USA, pp. 105-161. ISBN 0792350170

Cohn, DA and Ghahramani, Z and Jordan, MI (1997) Active learning with mixture models. In: Multiple Model Approaches to Modelling and Control. Taylor and Francis, London, UK, pp. 167-183.

Ghahramani, Z and Wolpert, DM and Jordan, MI (1997) Computational models of sensorimotor integration. In: Self-Organization, Computational Maps, and Motor Control. Advances in Psychology, 119 . North Holland Publishing Company, Amsterdam, Netherlands, pp. 117-147.

Jordan, MI and Ghahramani, Z and Saul, LK (1997) Hidden Markov decision trees. In: Advances in Neural Information Processing Systems 9. Bradford Series . MIT Press, pp. 501-507. ISBN 9780262100656

Ghahramani, Z and Jordan, MI (1997) Mixture models for learning from incomplete data. In: Making Learning Systems Practical. Computational Learning Theory and Natural Learning Systems., 4 . MIT Press, Cambridge, MA, USA, pp. 67-85.

Ghahramani, Z and Jordan, MI (1996) Factorial hidden Markov models. In: Advances in Neural Information Processing Systems 8. MIT Press, Cambridge, MA, USA, pp. 472-478. ISBN 9780262201070

Cohn, DA and Ghahramani, Z and Jordan, MI (1995) Active learning with statistical models. In: Advances in Neural Information Processing Systems 7. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 705-712. ISBN 9780262201049

Ghahramani, Z and Wolpert, DM and Jordan, MI (1995) Computational structure of coordinate transformations: a generalization study. In: Advances in Neural Information Processing Systems 7. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 1125-1132. ISBN 9780262201049

Ghahramani, Z (1995) Factorial learning and the EM algorithm. In: Advances in Neural Information Processing Systems 7. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 617-624. ISBN 9780262201049

Wolpert, DM and Ghahramani, Z and Jordan, MI (1995) Forward dynamic models in human motor control: psychophysical evidence. In: Advances in Neural Information Processing Systems 7. Bradford Series . MIT Press, Cambridge, MA, USA, pp. 43-50. ISBN 9780262201049

Ghahramani, Z and Jordan, MI (1995) Supervised learning from incomplete data using an EM approach. In: Advances in Neural Information Processing Systems 6. Morgan Kaufmann Publishers, pp. 120-127. ISBN 1558603220

Conference or Workshop Item

Knowles, D and Gael, JV and Ghahramani, Z (2011) Message Passing Algorithms for the Dirichlet Diffusion Tree. In: UNSPECIFIED pp. 721-728..

Abbott, JT and Heller, KA and Ghahramani, Z and Griffiths, T (2011) Testing a Bayesian Measure of Representativeness Using a Large Image Database. In: UNSPECIFIED pp. 2321-2329..

Rotsos, C and Van Gael, J and Moore, AW and Ghahramani, Z (2010) Probabilistic graphical models for semi-supervised traffic classification. In: UNSPECIFIED pp. 752-757..

Stegle, O and Denby, K and McHattie, S and Meade, A and Wild, D and Ghahramani, Z and Borgwardt, K (2009) Discovering temporal patterns of differential gene expression in microarray time series. In: German Conference on Bioinformatics, 28-9-2009 to 30-9-2009, Martin Luther University, Halle-Wittenberg, Germany pp. 133-142..

van Gael, J and Vlachos, A and Ghahramani, Z (2009) The infinite HMM for unsupervised POS tagging. In: EMNLP 2009: Empirical Methods in Natural Language Processing, 6-8-2009 to 7-8-2009, Suntec City, Singapore.

Doshi Velez, F and Ghahramani, Z (2009) Correlated non-parametric latent feature models. In: UAI 2009 (Conference on Uncertainty in Artificial Intelligence), 18-6-2009 to 21-6-2009, Montreal, Quebec.

Doshi Velez, F and Ghahramani, Z (2009) Accelerated Gibbs sampling for the Indian buffet process. In: The 26th International Conference On Machine Learning, ICML 2009, 14-6-2009 to 18-6-2009, Montreal Quebec, Canada pp. 273-280..

Adams, R and Ghahramani, Z (2009) Archipelago: nonparametric bayesian semi-supervised learning. In: International Conference on Machine Learning, ICML 2009, 14-6-2009 to 18-6-2009, Montreal Quebec, Canada pp. 1-8..

Stegle, O and Denby, K and Wild, DL and Ghahramani, Z (2009) A robust bayesian two-sample test for detecting intervals of differential gene expression in microarray time series. In: 13th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2009, 18-5-2009 to 21-5-2009, Tucson, Arizona.

Vlachos, A and Korhonen, A and Ghahramani, Z (2009) Unsupervised and constrained dirichlet process mixture models for verb clustering. In: 4th Workshop on Statistical Machine Translation, EACL' 09, 30-3-2009 to 3-4-2009, Athens, Greece.

Eaton, F and Ghahramani, Z (2009) Choosing a variable to clamp: approximate inference using conditioned belief propagation. In: AISTATS Proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS) 2009, 16-4-2009 to 18-4-2009, Florida, USA pp. 145-152..

Silva, R and Ghahramani, Z (2009) Factorial mixture of gaussians and the marginal independence model. In: Twelfth International Conference on Artificial Intelligence and Statistics, AISTATS 09, 16-4-2009 to 18-4-2009, Florida, USA pp. 520-527..

Chu, W and Ghahramani, Z (2009) Probabilistic models for incomplete multi-dimensional arrays. In: AISTATS Twelfth International Conference on Artificial Intelligence and Statistics 2009, 16-4-2009 to 18-4-2009, Florida, USA pp. 89-96..

Xu, Y and Heller, KA and Ghahramani, Z (2009) Tree-based inference for dirichlet process mixtures. In: AISTATS Proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS)2009, 16-4-2009 to 18-4-2009, Florida USA pp. 623-630..

Stepleton, T and Ghahramani, Z and Gordon, G and Lee, TS (2009) The block diagonal infinite hidden markov model. In: AISTATS Twelfth International Conference on Artificial Intelligence and Statistics 2009, 16-4-2009 to 18-4-2009, Florida, USA pp. 552-559..

Lippert, C and Stegle, O and Ghahramani, Z and Borgwardt, K (2009) A kernel method for unsupervised structured network inference. In: JMLR: Workshop and Conference Proceedings Vol.5: 12th International Conference on Artificial Intelligence and Statistics, AISTATS 2009, 16-4-2009 to 18-4-2009, Florida, USA pp. 368-375..

Mohamed, S and Doshi Velez, F and Knowles, D and Ghahramani, Z (2009) Large scale nonparametric Bayesian inference:data parallelisation an the Indian buffet process. In: NIPS 2009 Neural Information Processing Systems Conference, 7-12-2009 to 12-12-2009, Vancouver, Canada.

Doshi-Velez, F and Ghahramani, Z (2009) Accelerated sampling for the Indian Buffet Process. In: UNSPECIFIED p. 35..

Doshi-Velez, F and Ghahramani, Z (2009) Correlated Non-Parametric Latent Feature Models. In: UNSPECIFIED pp. 143-150..

Stegle, O and Denby, K and Wild, DL and Ghahramani, Z and Borgwardt, KM (2009) A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series. In: UNSPECIFIED pp. 201-216..

van Gael, J and Saatci, Y and Teh, YW and Ghahramani, Z (2008) Beam sampling for the infinite hidden markov model. In: 25th International Conference on Machine Learning, 5-7-2008 to 9-7-2008, Helsinki, Finland pp. 1088-1095..

Vlachos, A and Ghahramani, Z and Korhonen, A (2008) Dirichlet process mixture models for verb clustering. In: Workshop on Prior Knowledge for Text and Language Processing, 9-7-2008 to --, Helsinki, Finland.

Heller, KA and Williamson, SA and Ghahramani, Z (2008) Statistical models for partial membership. In: 25th International Conference on Machine Learning, 5-7-2008 to 9-7-2008, Helsinki, Finland pp. 329-339..

Kim, H and Ghahramani, Z (2008) Outlier robust gaussian process classification. In: 7th International Workshop on Statistical Pattern Recognition, SPR' 08, --2008 to --, Orlando, USA pp. 896-905..

Huebler, C and Borgwardt, K and Kriegel, HP and Ghahramani, Z (2008) Metropolis algorithms for representative subgraph sampling. In: 8th IEEE International Conference on Data Mining, ICDM' 08, 15-12-2008 to 19-12-2008, Pisa, Italy pp. 283-292..

Williamson, S and Ghahramani, Z (2008) Probabilistic models for data combination in recommender systems. In: Learning from Multiple Sources Workshop, 8-12-2008 to 12-12-2008, Vancouver and Whistler, British Columbia, Canada.

van Gael, J and Teh, YW and Ghahramani, Z (2008) The infinite factorial hidden markov model. In: 22nd Annual Conference on Neural Information Processing Systems, NIPS 2008, 8-12-2008 to 12-12-2008, Vancouver and Whistler, British Columbia, Canada -..

Mohamed, S and Heller, KA and Ghahramani, Z (2008) Bayesian exponential family PCA. In: NIPS 2009 Neural Information Processing Systems Conference, 8-12-2008 to 10-12-2008, Vancouver, Canada -..

Mohamed, S and Heller, KA and Ghahramani, Z (2008) Bayesian Exponential Family PCA. In: UNSPECIFIED pp. 1089-1096..

Ghahramani, Z (2008) Bayesian Methods for Artificial Intelligence and Machine Learning. In: UNSPECIFIED p. 8..

Gael, JV and Teh, YW and Ghahramani, Z (2008) The Infinite Factorial Hidden Markov Model. In: UNSPECIFIED pp. 1697-1704..

Heller, KA and Williamson, S and Ghahramani, Z (2008) Statistical models for partial membership. In: UNSPECIFIED pp. 392-399..

Knowles, D and Ghahramani, Z (2007) Infinite sparse factor analysis and infinite independent components analysis. In: 7th International Conference on Independent Component Analysis and Signal Separation (ICA 2007), -9-2007 to --, London, UK pp. 381-388..

Silva, R and Heller, KA and Ghahramani, Z (2007) Analogical reasoning with relational Bayesian sets. In: 11th International Conference on Artifical Intelligence and Statistics (AISTATS), -3-2007 to --, San Juan, PR, US.

Chu, W and Ghahramani, Z and Krause, R and Wild, DL (2007) Identifying protein complexes from high-throughput protein interaction screens. In: 17th Annual Mathematical and Statistical Aspects of Molecular Biology Workshop, -3-2007 to --, Manchester, UK.

Snelson, E and Ghahramani, Z (2007) Local and global sparse Gaussian process approximations. In: 11th International Conference on Artifical Intelligence and Statistics (AISTATS), -3-2007 to --, San Juan, PR, US.

Teh, YW and Ghahramani, Z (2007) Stick-breaking construction for the Indian buffet. In: 11th International Conference on Artifical Intelligence and Statistics (AISTATS), -3-2007 to --, San Juan, PR, US.

Heller, KA and Ghahramani, Z (2007) A nonparametric Bayesian approach to modeling overlapping clusters. In: Eleventh International Conference on Artifical Intelligence and Statistics (AISTATS), -3-2007 to --, San Juan, PR, US.

Silva, R and Chu, W and Ghahramani, Z (2007) Hidden common cause relations in relational learning. In: 21st Annual Conference on Neural Information Processing Systems, 3-12-2007 to 6-12-2007, Vancouver, Canada -..

(2007) Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007. In: UNSPECIFIED.

Azran, A and Ghahramani, Z (2006) A new approach to data driven clustering. In: The 23rd International Conference on Machine learning; ICML 2006, -8-2006 to --, Pittsburgh, PA, US pp. 57-64..

Kim, H-C and Kim, D and Ghahramani, Z and Bang, S-Y (2006) Gender classification with Bayesian kernel methods. In: 2006 International Joint Conference on Neural Networks (IJCNN), 16-7-2006 to 21-7-2006, Vancouver, BC, Canada.

Silva, R and Ghahramani, Z (2006) Bayesian inference for Gaussian mixed graph models. In: 22nd Conference on Uncertainty in Artificial Intelligence (UAI 2006), 13-7-2006 to 16-7-2006, Cambridge, MA, US pp. 453-460..

Murray, IA and Ghahramani, Z and MacKay, DJC (2006) MCMC for doubly-intractable distributions. In: 22nd Conference on Uncertainty in Artificial Intelligence (UAI 2006), 13-7-2006 to 16-7-2006, Cambridge, MA, US pp. 359-366..

Snelson, E and Ghahramani, Z (2006) Variable noise and dimensionality reduction for sparse Gaussian processes. In: UAI 2006: 22nd Conference on Uncertainty in Artificial Intelligence, 13-7-2006 to 16-7-2006, Cambridge, MA, US pp. 461-468..

Wood, F and Griffiths, TL and Ghahramani, Z (2006) A non-parametric Bayesian method for inferring hidden causes. In: 22nd Conference on Uncertainty in Artificial Intelligence (UAI 2006), 13-7-2006 to 16-7-2006, Cambridge, MA, US pp. 536-543..

Heller, KA and Ghahramani, Z (2006) A Bayesian approach to information retrieval from sets of items. In: 26th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering CNRS, 8-7-2006 to 13-7-2006, Paris, France.

Ghahramani, Z and Griffiths, TL and Sollich, P (2006) Bayesian nonparametric latent feature models (with discussion). In: 8th Valencia International Meeting on Bayesian Statistics, 2-6-2006 to 6-6-2006, Benidorm, Alicante, Spain -..

Heller, KA and Ghahramani, Z (2006) Efficient Bayesian hierarchical clustering for gene expression data. In: Valencia/ISBA 8th World Meeting on Bayesian Statistics, 1-6-2006 to 6-6-2006, Benidorm, Spain.

Murray, I and Ghahramani, Z and MacKay, DJC (2006) MCMC parameter learning in spatial statistics. In: Valencia/ISBA 8th World Meeting on Bayesian Statistics, 1-6-2006 to 6-6-2006, Benidorm, Spain.

Azran, A and Ghahramani, Z (2006) Spectral methods for automatic multiscale data clustering. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 17-6-2006 to 22-6-2006, New York, US -..

Heller, KA and Ghahramani, Z (2006) A simple Bayesian framework for content-based image retrieval. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 17-6-2006 to 22-6-2006, New York, US -..

Kurata, D and Nankaku, Y and Tokuda, K and Kitamura, T and Ghahramani, Z (2006) Face recognition based on separate lattice HMMs. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 14-5-2006 to 19-5-2006, Toulouse, France.

Meeds, E and Ghahramani, Z and Neal, R and Roweis, ST (2006) Modelling dyadic data with binary latent factors. In: 20th Conference on Advances in Neural Information Processing Systems (NIPS), 4-12-2006 to 7-12-2006, Vancouver, Canada pp. 977-984..

Chu, W and Sindhwani, V and Keerthi, S and Ghahramani, Z (2006) Relational learning with Gaussian processes. In: 20th Conference on Advances in Neural Information Processing Systems (NIPS), 4-12-2006 to 7-12-2006, Vancouver, Canada pp. 289-296..

Chu, W and Ghahramani, Z and Krause, R and Wild, DL (2006) Identifying protein complexes in high-throughput protein interaction screens using an infinite latent feature model. In: The Pacific Symposium Biocomputing 2006, 3-1-2006 to 7-1-2006, Hawaii, HI, US pp. 231-242..

Kurata, D and Nankaku, Y and Tokuda, K and Kitamura, T and Ghahramani, Z (2006) Face recognition based on separable lattice HMMS. In: UNSPECIFIED pp. 5595-5598..

Kurata, D and Nankaku, Y and Tokuda, K and Kitamura, T and Ghahramani, Z (2006) Face recognition based on separable lattice HMMS. In: UNSPECIFIED 737-+..

Kim, HC and Kim, D and Ghahramani, Z and Bang, SY (2006) Gender classification with Bayesian kernel methods. In: UNSPECIFIED pp. 3371-3376..

Heller, KA and Ghahramani, Z (2006) A Simple Bayesian Framework for Content-Based Image Retrieval. In: UNSPECIFIED pp. 2110-2117..

Azran, A and Ghahramani, Z (2006) Spectral Methods for Automatic Multiscale Data Clustering. In: UNSPECIFIED pp. 190-197..

Heller, KA and Ghahramani, Z (2005) Bayesian hierarchical clustering. In: The 22nd International Conference on Machine Learning: ICML 2005, -8-2005 to --, Bonn, Germany pp. 297-304..

Snelson, E and Ghahramani, Z (2005) Compact approximations to Bayesian predictive distributions. In: The 22nd International Conference on Machine Learning: ICML 2005, -8-2005 to --, Bonn, Germany pp. 841-848..

Chu, W and Ghahramani, Z (2005) Preference learning with Gaussian processes. In: The 22nd International Conference on Machine Learning: ICML 2005, -8-2005 to --, Bonn, Germany pp. 137-144..

Heller, KA and Ghahramani, Z (2005) Randomized algorithms for fast Bayesian hierarchical clustering. In: EU-PASCAL Statistics and Optimization of Clustering Workshop, 5-7-2005 to 6-7-2005, London, UK.

Chu, W and Ghahramani, Z (2005) Extensions of Gaussian processes for ranking: semi-supervised and active learning. In: The NIPS 2005 Workshop on Learning to Rank, 9-12-2005 to --, Whistler, BC, US pp. 29-34..

Sung, JM and Bang, SY and Kim, S and Ghahramani, Z (2005) U-likelihood and U-updating algorithm: statistical inference on latent variable models. In: The 16th European Conference on Machine Learning, -10-2005 to --, Porto, Portugal pp. 377-388..

Snelson, E and Ghahramani, Z (2005) Compact approximations to Bayesian predictive distributions. In: UNSPECIFIED pp. 840-847..

Todorov, E and Ghahramani, Z (2004) Analysis of the synergies underlying complex hand manipulation. In: The 26th IEEE Annual International Conference on Engineering in Medicine and Biology Society; EMBC 2004 - Volume 6, -9-2004 to --, San Francisco, CA, US pp. 4637-4640..

Beal, MJ and Rangel, C and Falciani, F and Ghahramani, Z and Wild, DL (2004) Classical and Bayesian approaches to reconstructing genetic regulatory networks. In: 12th International Conference on Intelligent Systems for Molecular Biology (ISMB), 31-7-2004 to 1-8-2004, Glasgow, UK.

Murray, I and Ghahramani, Z (2004) Bayesian learning in undirected graphical models: approximate MCMC algorithms. In: The 20th Conference on Uncertainty in Artificial Intelligence, 7-7-2004 to 11-7-2004, Banff, AB, Canada pp. 392-399..

Qi, Y and Minka, TP and Picard, RW and Ghahramani, Z (2004) Predictive automatic relevance determination by expectation propagation. In: The 21st International Conference on Machine Learning: ICML 2004, -7-2004 to --, Banff, AB, Canada pp. 671-678..

Chu, W and Ghahramani, Z and Wild, DL (2004) A graphical model for protein secondary structure prediction. In: The 21st International Conference on Machine Learning: ICML 2004, -7-2004 to --, Banff, AB, Canada pp. 161-168..

Chu, W and Ghahramani, Z and Wild, DL (2004) Secondary structure prediction using Sigmoid belief networks to parameterize segmental semi-Markov models. In: The 12th European Symposium on Artificial Neural Networks (ESANN), 28-4-2004 to 30-4-2004, Bruges, Belgium -..

Snelson, E and Rasmussen, CE and Ghahramani, Z (2004) Warped Gaussian processes. In: Neural Information Processing Systems, NIPS, 17th Annual Conference, -12-2003 to --, British Columbia, Canada pp. 337-344..

Dubey, A and Hwang, S and Rangel, C and Rasmussen, CE and Ghahramani, Z and Wild, DL (2004) Clustering protein sequence and structure space with infinite Gaussian mixture models. In: The Pacific Symposium on Biocomputing 2004, 6-1-2004 to 10-1-2004, Hawaii, HI, US pp. 399-410..

Bourne, PE and Allerston, CKJ and Krebs, W and Li, W and Shinyalov, IN and Godzik, A and Friedberg, I and Liu, T and Wild, DL and Hwang, S and Ghahramani, Z and Chen, L and Westbrook, J (2004) The status of structural genomics defined through the analysis of current targets and structures. In: The Pacific Symposium on Biocomputing 2004, 6-1-2004 to 10-1-2004, Hawaii, HI, US pp. 375-386..

Qi, YA and Minka, TP and Picard, RW and Ghahramani, Z (2004) Predictive automatic relevance determination by expectation propagation. In: UNSPECIFIED.

Chu, W and Ghahramani, Z and Wild, DL (2004) Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models. In: UNSPECIFIED pp. 81-86..

Chu, W and Ghahramani, Z and Wild, DL (2004) A graphical model for protein secondary structure prediction. In: UNSPECIFIED.

Todorov, E and Ghahramani, Z (2003) Unsupervised learning of sensory-motor synergies. In: Society for Neuroscience Conference, -9-2003 to --, Cancun, Mexico pp. 1750-1753..

Salakhutdinov, R and Roweis, S and Ghahramani, Z (2003) On the convergence of bound optimization algorithms. In: The 19th International Conference on Uncertainty in Artificial Intelligence, -8-2003 to --, Acapulco, Mexico pp. 509-516..

Salakhutdinov, R and Roweis, S and Ghahramani, Z (2003) Optimization with EM and expectation-conjugate-gradient. In: The 20th International Conference on Machine Learning (ICML-2003) Volume 2, -8-2003 to --, Washington, DC, US pp. 672-679..

Zhu, X and Ghahramani, Z and Lafferty, J (2003) Semi-supervised learning using Gaussian fields and harmonic functions. In: The 20th International Conference on Machine Learning (ICML-2003) Volume 2, -8-2003 to --, Washington, DC, US pp. 912-919..

Beal, MJ and Ghahramani, Z (2003) The variational Bayesian EM algorithm for incomplete data: with application to scoring graphical model structures. In: Bayesian Statistics 7: the Seventh Valencia International Meeting, -6-2002 to --, Tenerife, Spain pp. 453-464..

Minka, TP and Ghahramani, Z (2003) Expectation propagation for infinite mixtures (Technical Report). In: NIPS'03 Workshop on Nonparametric Bayesian Methods and Infinite Models, 13-12-2003 to --, Whistler, BC Canada.

Rasmussen, CE and Ghahramani, Z (2003) Bayesian Monte Carlo. In: 16th Annual Conference on Neural Information Processing Systems, NIPS'02, -12-2002 to --, British Columbia, Canada pp. 505-512..

Xhu, X and Lafferty, J and Ghahramani, Z (2003) Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions. In: The ICML-2003 Workshop on The Continuum from Labeled to Unlabeled Data, --2003 to --, Washington, DC, US pp. 58-65..

Kim, H-C and Ghahramani, Z (2003) The EM-EP algorithm for Gaussian process classification. In: The Workshop on Probabilistic Graphical Models for Classification held at The 14th European Conference on Machine Learning (ECML) and the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), -- to -- pp. 37-48..

Thrun, S and Koller, D and Ghahramani, Z and Durrant-Whyte, H and Ng, AY (2003) Simultaneous mapping and localization with sparse extended information filters: Theory and initial results. In: UNSPECIFIED pp. 363-380..

Rasmussen, CE and Ghahramani, Z (2002) Bayesian Monte Carlo. In: UNSPECIFIED pp. 489-496..

Wild, DL and Rasmussen, CE and Ghahramani, Z and Cregg, J and de la Cruz, BJ and Kan, C-C and Scanlon, K (2002) A Bayesian approach to modelling uncertainty in gene expression clusters. In: 3rd International Conference on Systems Biology, --2002 to --, Stockholm, Sweden.

Rasmussen, CE and Ghahramani, Z (2002) Infinite mixtures of Gaussian process experts. In: Advances in Neural Information Processing Systems 14: the 2001 Neural Information Processing Systems (NIPS) Conference, --2001 to -- pp. 881-888..

Jin, R and Ghahramani, Z (2002) Learning with Multiple Labels. In: UNSPECIFIED pp. 897-904..

Beal, MJ and Ghahramani, Z and Rasmussen, CE (2002) The infinite hidden Markov model. In: Advances in Neural Information Processing Systems 14: the 2001 Neural Information Processing Systems (NIPS) Conference, --2001 to --, British Columbia, Canada pp. 577-585..

Korenberg, AT and Ghahramani, Z (2001) Adaptation to switching force fields. In: 11th Annual Meeting of Neural Control of Movement, 24-3-2001 to 1-4-2001, Seville, Spain.

Todorov, E and Ghahramani, Z (2001) A theory of optimal motor-sensory primitives. In: 11th Annual Meeting of Neural Control of Movement, 24-3-2001 to 1-4-2001, Seville, Spain.

Rangel, C and Wild, DL and Falciani, F and Ghahramani, Z (2001) Modelling biological responses using gene expression profiling and linear dynamical systems. In: The 2nd International Conference on Systems Biology: The Future of Biology in the 21st Century (ICSB), 4-11-2001 to 7-11-2001, California, US pp. 248-256..

Rasmussen, CE and Ghahramani, Z (2001) Occam's razor. In: 14th Annual Conference on Advances on Neural Information Processing Systems, NIPS 2000, -11-2000 to --, Denver, CO, US pp. 294-300..

Korenberg, AT and Ghahramani, Z (2001) Adaptative feedback control for non-stationary dynamics. In: 3rd International Conference on Sensorimotor Control in Man and Machines, --2001 to --, Marseille, France.

(2001) Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada]. In: UNSPECIFIED.

Adams, NJ and Storkey, AJ and Ghahramani, Z and Williams, CKI (2000) MFDTs: mean field dynamic trees. In: The 15th International Conference on Pattern Recognition v.3, -9-2000 to --, Barcelona, Spain pp. 147-150..

Wild, DL and Raval, A and Ghahramani, Z (2000) A Bayesian network model for protein fold and remote homologue recognition. In: 8th International Conference on Intelligent Systems for Molecular Biology (ISMB), -8-2000 to --, La Jolla, CA, US.

Todorov, E and Ghahramani, Z (2000) Degrees of freedom and hand synergies in manipulation tasks. In: 10th Annual Meeting on the Neural Control of Movement, 9-4-2000 to 14-4-2000, Key West, FL, US.

Vetter, P and Ghahramani, Z and Kawato, M and Wolpert, DM (2000) Multiple linear controllers for nonlinear and nonstationary dynamics. In: 10th Annual Meeting on the Neural Control of Movement, 9-4-2000 to 14-4-2000, Key West, FL, US.

Ueda, N and Ghahramani, Z (2000) Optimal model inference for Bayesian mixture of experts. In: The 2000 IEEE Signal Processing Society Workshop on Neural Networks for Signal Processing X v.1, -12-2000 to --, Sydney, Australia pp. 145-151..

Adams, NJ and Storkey, AJ and Williams, CKI and Ghahramani, Z (2000) MFDTs: Mean Field Dynamic Trees. In: UNSPECIFIED pp. 3151-3154..

Hamilton, AF and Jones, KE and Ghahramani, Z and Lemon, RN and Wolpert, DM (2000) The coding of movements in primary motor cortex: a TMS study. In: ICN-ISC Meeting, --2000 to --, Lyons, France.

Ghahramani, Z and Korenberg, A and Hinton, GE (1999) Scaling in a hierarchical unsupervised network. In: The 9th International Conference on Artificial Neural Networks; ICANN 99, -9-1999 to --, Edinburgh, UK pp. 13-18..

Ueda, N and Nakano, R and Ghahramani, Z and Hinton, GE (1999) Pattern classification using a mixture of factor analyzers. In: The 9th Workshop on Neural Networks for Signal Processing (NNSP'99), -8-1999 to --, Madison, WI, US pp. 525-534..

Ueda, N and Nakano, R and Ghahramani, Z and Hinton, GE (1998) Split and merge EM algorithm for improving Gaussian mixture density estimates. In: The 8th Workshop on Neural Networks for Signal Processing, -8-1998 to --, Cambridge, UK pp. 274-283..

Wild, D and Ghahramani, Z (1998) A Bayesian network approach to protein fold recognition. In: 6th International Conference on Intelligent Systems for Molecular Biology (ISMB), -6-1998 to --, Montreal, Canada.

Ghahramani, Z and Hinton, GE (1998) Hierarchical non-linear factor analysis and topographic maps. In: UNSPECIFIED pp. 486-492..

Hinton, GE and Sallans, B and Ghahramani, Z (1998) A hierarchical community of experts. In: UNSPECIFIED pp. 479-494..

Ghahramani, Z (1993) Solving inverse problems using an EM approach to density estimation. In: The 1993 Connectionist Models Summer School, --1993 to --, Boulder, CO, US pp. 316-323..

Ghahramani, Z and Allen, RB (1991) Temporal processing with connectionist networks. In: The International Joint Conference on Neural Networks (IJCNN'91), -11-1991 to --, Seattle, WA, US pp. 541-546..

Monograph

Heller, KA and Ghahramani, Z (2006) Bayesian Hierarchical clustering. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Murray, I and Ghahramani, Z (2006) A note on the evidence and Bayesian Occam's razor. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Beal, M and Ghahramani, Z (2006) The variational Kalman smoother. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Griffiths, TL and Ghahramani, Z (2005) Infinite latent feature models and the indian buffet process. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Zhu, X and Ghahramani, Z and Lafferty, J (2005) Time-sensitive Dirichlet process mixture models. Technical Report. Carnegie Mellon University: School of Computer Science, Pittsburgh PA, USA.

Chu, W and Ghahramani, Z (2004) Gaussian processes for ordinal regression. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Tuttle, E and Ghahramani, Z (2004) Propagating uncertainty in POMDP value iteration with Gaussian processes. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Ghahramani, Z and Kim, HC (2003) Bayesian classifier combination. Technical Report. Gatsby Computational Neuroscience Unit, University College London (UCL), London, UK.

Ohno, Y and Nankaku, Y and Tokuda, K and Kitamura, T and Ghahramani, Z (2003) The training algorithm based on variational approximation for separable 2D-HMM. Technical Report. The Institute of Electronics, Information and Communication Engineers (IEICE), Japan.

Salakhutdinov, R and Roweis, S and Ghahramani, Z (2002) Expectation-conjugate gradient: an alternative to EM. Technical Report. University of Toronto: Department of Computer Science, Toronto, Canada.

Zhu, X and Ghahramani, Z (2002) Learning from labels and unlabeled data with label propagation. Technical Report. Carnegie Mellon University: School of Computer Science, Pittsburgh PA, USA.

Zhu, X and Ghahramani, Z and Lafferty, J (2002) Towards semi-supervised classification with Markov random fields. Technical Report. Carnegie Mellon University: School of Computer Science, Pittsburgh PA, USA.

Ghahramani, Z and Hinton, GE (1996) The EM algorithm for mixtures of factor analyzers. Technical Report. University of Toronto: Department of Computer Science, Toronto, Canada.

Ghahramani, Z and Hinton, GE (1996) Parameter estimation for linear dynamical systems. Technical Report. University of Toronto: Department of Computer Science, Toronto, Canada.

Rasmussen, CE and Neal, RM and Hinton, GE and Van Camp, D and Revow, M and Ghahramani, Z and Kustra, R and Tibshirani, R (1996) The delve manual. Technical Report. University of Toronto: Department of Computer Science, Toronto, Canada.

Thesis

Ghahramani, Z (1995) Computation and psychophysics of sensorimotor integration. PhD thesis, UNSPECIFIED.

Ghahramani, Z (1990) A neural network for learning how to parse tree adjoining grammars. Other thesis, UNSPECIFIED.

This list was generated on Wed Jan 16 15:20:07 2013 GMT.