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Non-parametric Bayesian Methods Uncertainty in Artificial…
https://mlg.eng.cam.ac.uk/zoubin/talks/uai05tutorial-b.pdf27 Jan 2023: Gatsby Computational Neuroscience Unit1. University College London, UK. Center for Automated Learning and DiscoveryCarnegie Mellon University, USA. ... Gatsby Computational Neuroscience Unit Technical Report GCNU-TR 2005-001. Other. • Müller, P. -
Formatting Instructions for NIPS -8-
https://mlg.eng.cam.ac.uk/zoubin/papers/JinGha02.pdf27 Jan 2023: Rong Jin Zoubin Ghahramani† School of Computer Science †Gatsby Computational Neuroscience Unit Carnegie Mellon University University College London Pittsburgh, PA 15213, USA London WC1N 3AR, UK rong@cs.cmu.edu -
Curriculum Vitae Zoubin Ghahramani FRS CONTACT DETAILS Department:…
https://mlg.eng.cam.ac.uk/zoubin/fullcv.pdf27 Jan 2023: Reader in Machine Learning, Oct 2003–Jan 2006Gatsby Computational Neuroscience Unit, University College London, UK. ... Graduate Tutor, Gatsby Computational Neuroscience Unit, 2001-2005. Selection Committee, Chair in Computational Neuroscience, UCL, -
Görür D, Rasmussen CE. Dirichlet process Gaussian mixture models:…
https://mlg.eng.cam.ac.uk/pub/pdf/GoeRas10.pdf13 Feb 2023: 1Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, U.K.2Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, U.K.3Max Planck Institute for Biological Cybernetics, D-72076 ... Dilan Görür is a -
A Nonparametric Bayesian Approach toModeling Overlapping Clusters…
https://mlg.eng.cam.ac.uk/pub/pdf/HelGha07a.pdf13 Feb 2023: A Nonparametric Bayesian Approach toModeling Overlapping Clusters. Katherine A. HellerGatsby Computational Neuroscience Unit. -
Compact approximations to Bayesian predictive distributions Edward…
https://mlg.eng.cam.ac.uk/zoubin/papers/icml05snelson.pdf27 Jan 2023: Compact approximations to Bayesian predictive distributions. Edward Snelson snelson@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, Queen Square, London WC1N 3AR, UK. ... Zoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby -
LNAI 3720 - $\mathcal{U}$-Likelihood and $\mathcal{U}$-Updating…
https://mlg.eng.cam.ac.uk/pub/pdf/SunBanCho05a.pdf13 Feb 2023: 1 Department of Computer Science,POSTECH, Republic of Korea. {emtidi, sybang, seungjin}@postech.ac.kr2 Gatsby Computational Neuroscience Unit,University College London, 17 Queen Square,. -
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
https://mlg.eng.cam.ac.uk/pub/pdf/ZhuKanGha04a.pdf13 Feb 2023: Nonparametric Transforms of Graph Kernelsfor Semi-Supervised Learning. Xiaojin Zhu † Jaz Kandola‡ Zoubin Ghahramani‡† John Lafferty †. †School of Computer Science ‡Gatsby Computational Neuroscience UnitCarnegie Mellon University -
nips2007-final.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/SilChuGha08.pdf27 Jan 2023: Hidden Common Cause Relations inRelational Learning. Ricardo Silva. Gatsby Computational Neuroscience UnitUCL, London, UK WC1N 3ARrbas@gatsby.ucl.ac.uk. -
Predictive Automatic Relevance Determinationby Expectation…
https://mlg.eng.cam.ac.uk/zoubin/papers/Qi04.pdf27 Jan 2023: Rosalind W. Picard picard@media.mit.eduMIT Media Laboratory, Cambridge, MA, 02139 USA. Zoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London, WC1N 3AR, UK. -
Accelerated Sampling for the Indian Buffet Process Finale Doshi-Velez …
https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09.pdf13 Feb 2023: TR2005-001, Gatsby Comp. Neuroscience Unit. Hoffmann, U., Vesin, J.-M., Ebrahimi, T., & Diserens,K. -
Correlated Non-Parametric Latent Feature Models Finale Doshi-Velez…
https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09b.pdf13 Feb 2023: 2005). Infinite latent fea-ture models and the Indian buffet process. TR 2005-001,Gatsby Computational Neuroscience Unit. -
Predictive Automatic Relevance Determinationby Expectation…
https://mlg.eng.cam.ac.uk/pub/pdf/QiMinPic04a.pdf13 Feb 2023: Rosalind W. Picard picard@media.mit.eduMIT Media Laboratory, Cambridge, MA, 02139 USA. Zoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London, WC1N 3AR, UK. -
Accelerated sampling for the Indian Buffet Process
https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09a.pdf13 Feb 2023: TR2005-001, Gatsby Comp. Neuroscience Unit. Hoffmann, U., Vesin, J.-M., Ebrahimi, T., & Diserens,K. -
doi:10.1016/j.patrec.2005.09.027
https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06a.pdf13 Feb 2023: c Gatsby Computational Neuroscience Unit, UCL, London WC1N 3AR, UK. Received 11 August 2004; received in revised form 15 September 2005Available online 18 November 2005. -
Bayesian Learning in Undirected Graphical Models:Approximate MCMC…
https://mlg.eng.cam.ac.uk/pub/pdf/MurGha04a.pdf13 Feb 2023: Bayesian Learning in Undirected Graphical Models:Approximate MCMC algorithms. Iain Murray and Zoubin GhahramaniGatsby Computational Neuroscience Unit. -
Bayesian Hierarchical Clustering Katherine A. Heller…
https://mlg.eng.cam.ac.uk/zoubin/papers/icml05heller.pdf27 Jan 2023: Bayesian Hierarchical Clustering. Katherine A. Heller heller@gatsby.ucl.ac.uk. Zoubin Ghahramani zoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, UCL, London, WC1N 3AR, UK. ... Gatsby Computa-tional Neuroscience Unit. Kemp, C., Griffiths, -
o407_12f 742..747
https://mlg.eng.cam.ac.uk/zoubin/papers/reza.pdf27 Jan 2023: Understanding how the brain constructs movements remains afundamental challenge in neuroscience. ... L. & Ghilardi, M. F. in The New Cognitive Neurosciences (ed. -
89 Probabilistic Models for Incomplete Multi-dimensional Arrays Wei…
https://mlg.eng.cam.ac.uk/pub/pdf/ChuGha09.pdf13 Feb 2023: However, it hasbeen shown in many research areas, such as computervision, neuroscience and process analysis, that the ob-servational data can also naturally come in the formof multi-dimensional arrays. -
Unsupervised Learning A Belief Propagation Demo Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course05/fluffy.pdf27 Jan 2023: Unsupervised Learning. A Belief Propagation Demo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
rszg2006e.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/SilGha06a.pdf13 Feb 2023: Bayesian Inference for Gaussian Mixed Graph Models. Ricardo Silva. Gatsby Computational Neuroscience UnitUniversity College Londonrbas@gatsby.ucl.ac.uk. -
A Nonparametric Bayesian Approach toModeling Overlapping Clusters…
https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha07over.pdf27 Jan 2023: A Nonparametric Bayesian Approach toModeling Overlapping Clusters. Katherine A. HellerGatsby Computational Neuroscience Unit. -
Unsupervised Learning Propagation on Factor Graphs Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course04/factorprop.pdf27 Jan 2023: Unsupervised Learning. Propagation on Factor Graphs. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
https://mlg.eng.cam.ac.uk/pub/pdf/ZhuGhaLaf03a.pdf13 Feb 2023: Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK. -
Nonparametric Transforms of Graph Kernelsfor Semi-Supervised Learning …
https://mlg.eng.cam.ac.uk/zoubin/papers/ZhuKanGhaLaf04.pdf27 Jan 2023: Nonparametric Transforms of Graph Kernelsfor Semi-Supervised Learning. Xiaojin Zhu † Jaz Kandola‡ Zoubin Ghahramani‡† John Lafferty †. †School of Computer Science ‡Gatsby Computational Neuroscience UnitCarnegie Mellon University -
The EM-EP Algorithm forGaussian Process Classification Hyun-Chul Kim� …
https://mlg.eng.cam.ac.uk/zoubin/papers/ecml03.pdf27 Jan 2023: Gatsby Computational Neuroscience Unit, UCL,London, WC1N 3AR, UK,. hckim,zoubin @gatsby.ucl.ac.uk,http://www.gatsby.ucl.ac.uk. Abstract. -
aistats2007-ibpsb.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/TehGorGha07a.pdf13 Feb 2023: Stick-breaking Construction for the Indian Buffet Process. Yee Whye TehGatsby Computational Neuroscience Unit. -
A Simple Bayesian Framework for Content-Based Image Retrieval…
https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha06.pdf27 Jan 2023: Gatsby Computational Neuroscience Unit. University College London. heller@gatsby.ucl.ac.uk. Zoubin Ghahramani. Department of Engineering. -
Statistical Models for Partial Membership Katherine A. Heller…
https://mlg.eng.cam.ac.uk/pub/pdf/HelWilGha08.pdf13 Feb 2023: Gatsby Computational Neuroscience Unit. Heller, K., & Ghahramani, Z. (2007). A nonparamet-ric bayesian approach to modeling overlapping clusters.AISTATS. -
A Simple Bayesian Framework for Content-Based Image Retrieval…
https://mlg.eng.cam.ac.uk/pub/pdf/HelGha06a.pdf13 Feb 2023: Gatsby Computational Neuroscience Unit. University College London. heller@gatsby.ucl.ac.uk. Zoubin Ghahramani. Department of Engineering. -
uai2006.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/WooGriGha06a.pdf13 Feb 2023: Acknowledgments. This work was supported by NIH-NINDS R01 NS50967-01 as part of the NSF/NIH Collaborative Re-search in Computational Neuroscience Program. -
Optimization with EM and Expectation-Conjugate-Gradient
https://mlg.eng.cam.ac.uk/pub/pdf/SalRowGha03b.pdf13 Feb 2023: Zoubin Ghahramani ZOUBIN@GATSBY.UCL.AC.UKGatsby Computational Neuroscience Unit, University College London17 Queen Square, London WC1N 3AR, UK. -
Unsupervised Learning Propagation on Factor Graphs Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course05/factorprop.pdf27 Jan 2023: Unsupervised Learning. Propagation on Factor Graphs. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
rszg2006.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/SilGha06.pdf27 Jan 2023: Bayesian Inference for Gaussian Mixed Graph Models. Ricardo Silva. Gatsby Computational Neuroscience UnitUniversity College Londonrbas@gatsby.ucl.ac.uk. -
Bayesian Learning in Undirected Graphical Models:Approximate MCMC…
https://mlg.eng.cam.ac.uk/zoubin/papers/uai04murray.pdf27 Jan 2023: Bayesian Learning in Undirected Graphical Models:Approximate MCMC algorithms. Iain Murray and Zoubin GhahramaniGatsby Computational Neuroscience Unit. -
/users/joe/src/tops/dvips
https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha00a.pdf13 Feb 2023: Zoubin GhahramaniGeoffrey E. HintonGatsby Computational Neuroscience Unit, University College London, London WC1N3AR, U.K. -
Beam Sampling for the Infinite Hidden Markov Model Jurgen ...
https://mlg.eng.cam.ac.uk/pub/pdf/VanSaaTehGha08.pdf13 Feb 2023: Yee Whye Teh ywteh@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, WC1N 3AR, UK. -
BIOINFORMATICS ORIGINAL PAPER Vol. 21 no. 3 2005, pages ...
https://mlg.eng.cam.ac.uk/pub/pdf/BeaFalGha05a.pdf13 Feb 2023: 453–464. Beal,M.J. (2003) Variational Algorithms for Approximate BayesianInference. PhD Thesis, Gatsby Computational Neuroscience Unit,University College London, UK. -
On the Convergence of Bound Optimization Algorithms Ruslan…
https://mlg.eng.cam.ac.uk/pub/pdf/SalRowGha03a.pdf13 Feb 2023: rsalakhu,roweis@cs.toronto.edu. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, UK. -
A New Approach to Data Driven Clustering Arik Azran ...
https://mlg.eng.cam.ac.uk/zoubin/papers/AzrGhaICML06.pdf27 Jan 2023: A New Approach to Data Driven Clustering. Arik Azran arik@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, WC1N 3AR, UK. -
Bayesian Hierarchical Clustering Katherine A. Heller…
https://mlg.eng.cam.ac.uk/zoubin/papers/bhcnew.pdf27 Jan 2023: Bayesian Hierarchical Clustering. Katherine A. Heller heller@gatsby.ucl.ac.uk. Zoubin Ghahramani zoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, University College London17 Queen Square, London, WC1N 3AR, UK. -
Generalization to Local Remappings of the VisuomotorCoordinate…
https://mlg.eng.cam.ac.uk/zoubin/papers/genJN.pdf27 Jan 2023: Computer Science, University of Toronto, 6 King’s College Road, Pratt 271, To-ronto, Ontario, Canada M5S 3H5.Copyright q 1996 Society for Neuroscience 0270-6474/96/167085-12$05.00/0. ... The Journal of Neuroscience, November 1, 1996, 16(21):7085–7096. -
A Graphical Model for Protein Secondary Structure Prediction Wei ...
https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaWil04a.pdf13 Feb 2023: Gatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK. -
gppl.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/icml05chuwei-pl.pdf27 Jan 2023: Preference Learning with Gaussian Processes. Wei Chu chuwei@gatsby.ucl.ac.ukZoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK. ... 2004). Gaussian processes forordinal -
gmpssp.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/icml103.pdf27 Jan 2023: A Graphical Model for Protein Secondary Structure Prediction. Wei Chu chuwei@gatsby.ucl.ac.ukZoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK. -
aistats2007-ibpsb.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/TehGorGha07.pdf27 Jan 2023: Stick-breaking Construction for the Indian Buffet Process. Yee Whye TehGatsby Computational Neuroscience Unit. -
Variable noise and dimensionality reduction forsparse Gaussian…
https://mlg.eng.cam.ac.uk/zoubin/papers/snelson_uai.pdf27 Jan 2023: Variable noise and dimensionality reduction forsparse Gaussian processes. Edward SnelsonGatsby Computational Neuroscience Unit. -
TCS November 2001, 2nd pages.qxd
https://mlg.eng.cam.ac.uk/zoubin/papers/WolGhaFla01.pdf27 Jan 2023: Recently, these ideas have gainedempirical support in neuroscience with the finding of‘mirror neurones’, which respond both to self-generatedactions and the actions of others60,61. -
Local and global sparse Gaussian process approximations Edward…
https://mlg.eng.cam.ac.uk/zoubin/papers/aistats07localGP.pdf27 Jan 2023: Local and global sparse Gaussian process approximations. Edward SnelsonGatsby Computational Neuroscience Unit. -
Statistical Models for Partial Membership Katherine A. Heller…
https://mlg.eng.cam.ac.uk/zoubin/papers/HelWilGha08.pdf27 Jan 2023: Gatsby Computational Neuroscience Unit. Heller, K., & Ghahramani, Z. (2007). A nonparamet-ric bayesian approach to modeling overlapping clusters.AISTATS.
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