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13 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.

27 Jan 2023: School of Computer Science ‡ Gatsby Computational Neuroscience UnitCargenie Mellon University University College London.

13 Feb 2023: Bayesian Inference for Gaussian Mixed Graph Models. Ricardo Silva. Gatsby Computational Neuroscience UnitUniversity College Londonrbas@gatsby.ucl.ac.uk. ... This workwas funded by the Gatsby Charitable Foundation. References. A. Atay-Kayis and H.

27 Jan 2023: Hidden Common Cause Relations inRelational Learning. Ricardo Silva. Gatsby Computational Neuroscience UnitUCL, London, UK WC1N 3ARrbas@gatsby.ucl.ac.uk. ... Wei ChuCenter for Computational Learning SystemsColumbia University, New York, NY 10115.

27 Jan 2023: Bayesian Sets. Zoubin Ghahramani and Katherine A. HellerGatsby Computational Neuroscience Unit. ... University College LondonLondon WC1N 3AR, U.K. {zoubin,heller}@gatsby.ucl.ac.uk. Abstract. Inspired by “Google Sets”, we consider the problem of

13 Feb 2023: Gatsby Computational Neuroscience Unit. University College London. heller@gatsby.ucl.ac.uk. Zoubin Ghahramani. Department of Engineering. ... We still have not described the specific model, p(x|θ),or addressed the issue of computational efficiency of com

13 Feb 2023: Abstract: Existing methods for estimating uncertainty in deep learning tend to require multiple forward passes, making them unsuitable for applications where computational resources are limited. ... Abstract: On a mathematical level, most computational

13 Feb 2023: ZOUBIN@GATSBY.UCL.AC.UK. John Lafferty. LAFFERTY@CS.CMU.EDUSchool of Computer Science, Carnegie Mellon University, Pittsburgh PA 15213, USA. ... Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK.

27 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. ... The limitations of our

13 Feb 2023: Statistical Models for Partial Membership. Katherine A. Heller heller@gatsby.ucl.ac.ukSinead Williamson saw56@cam.ac.ukZoubin Ghahramani zoubin@eng.cam.ac.ukEngineering Department, University of Cambridge, Cambridge, UK. ... Gatsby Computational

13 Feb 2023: MCMC for doubly-intractable distributions. Iain MurrayGatsby Computational. Neuroscience UnitUniversity College London. ... i.murray@gatsby.ucl.ac.uk. Zoubin GhahramaniDepartment of EngineeringUniversity of Cambridgezoubin@eng.cam.ac.uk. David J. C.

27 Jan 2023: Gatsby Computational Neuroscience Unit, UCL,London, WC1N 3AR, UK,. hckim,zoubin @gatsby.ucl.ac.uk,http://www.gatsby.ucl.ac.uk. Abstract. ... Finally, although improving computational complexity of GPC learning throughsparsification methods is an

13 Feb 2023: Stick-breaking Construction for the Indian Buffet Process. Yee Whye TehGatsby Computational Neuroscience Unit. ... University College London17 Queen Square. London WC1N 3AR, UKywteh@gatsby.ucl.ac.uk. Dilan GörürMPI for Biological Cybernetics.

13 Feb 2023: J. (2003). Variational algorithms for approximatebayesian inference. Doctoral dissertation, Gatsby Com-putational Neuroscience Unit, UCL. ... 2005). Infinite latent fea-ture models and the Indian buffet process. TR 2005-001,Gatsby Computational

13 Feb 2023: Zoubin Ghahramani ZOUBIN@GATSBY.UCL.AC.UKGatsby Computational Neuroscience Unit, University College London17 Queen Square, London WC1N 3AR, UK.

27 Jan 2023: Gatsby Computational Neuroscience Unit. University College London. heller@gatsby.ucl.ac.uk. Zoubin Ghahramani. Department of Engineering. ... We still have not described the specific model, p(x|θ),or addressed the issue of computational efficiency of com

13 Feb 2023: dimen-sions may be due to the computational infeasibility of runningnumerous SSMs to cover the cloud of uncertainty in higherthan two dimensions. ... 453–464. Beal,M.J. (2003) Variational Algorithms for Approximate BayesianInference. PhD Thesis, Gatsby

13 Feb 2023: rsalakhu,roweis@cs.toronto.edu. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, UK. ... zoubin@gatsby.ucl.ac.uk. AbstractMany practitioners who use EM and related al-gorithms complain

27 Jan 2023: Bayesian Inference for Gaussian Mixed Graph Models. Ricardo Silva. Gatsby Computational Neuroscience UnitUniversity College Londonrbas@gatsby.ucl.ac.uk. ... This workwas funded by the Gatsby Charitable Foundation. References. A. Atay-Kayis and H.

27 Jan 2023: Computational principles ofmovement neuroscience. Daniel M. Wolpert1 and Zoubin Ghahramani2. 1 Sobell Department of Neurophysiology, Institute of Neurology, Queen Square, University College London, London WC1N 3BG, UK 2 Gatsby Computational

13 Feb 2023: Yee Whye Teh ywteh@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, WC1N 3AR, UK. ... αβkβst1 if k = K 1. For each 1 t T we need to compute O(K)probabilities, hence the Gibbs sampler has an O(TK)computational

13 Feb 2023: Gatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK. ... L. (2000).Bayesian segmentation of protein secondary structure.Journal of Computational Biology, 7, 233–248.

27 Jan 2023: Bayesian Learning in Undirected Graphical Models:Approximate MCMC algorithms. Iain Murray and Zoubin GhahramaniGatsby Computational Neuroscience Unit. ... 3These test sets are available online:http://www.gatsby.ucl.ac.uk/iam23/04blug/. 4 2 0W. FF. 2 0 2W.

27 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. ... L. (2000).Bayesian

27 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

27 Jan 2023: 2006/06/19 14:19. 1 Conditional Graphical Models. Fernando Pérez-Cruz. Gatsby Computational Neuroscience Unit. ... This simplification allows solving the multi-classification tractablyboth in the needed computational power and in the training sample

27 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.

13 Feb 2023: confirmed the useful behaviors of the proposed FoLSVB over the. standard VBEM with the same computational cost such as faster. ... Machine LearningResearch, vol. 6, pp. 661-694, 2005. [19] M.J. Beal, “Variational Algorithms for Approximate Bayesian

13 Feb 2023: D. ) suffice and a method with an overall computational cost of O(N(log N). ... Empirical validation suggests better performance and drastically improved computational scalablity compared with its predecessor, Improved GP-UCB.

27 Jan 2023: Stick-breaking Construction for the Indian Buffet Process. Yee Whye TehGatsby Computational Neuroscience Unit. ... University College London17 Queen Square. London WC1N 3AR, UKywteh@gatsby.ucl.ac.uk. Dilan GörürMPI for Biological Cybernetics.

13 Feb 2023: 2006/06/19 14:19. 1 Conditional Graphical Models. Fernando Pérez-Cruz. Gatsby Computational Neuroscience Unit. ... This simplification allows solving the multi-classification tractablyboth in the needed computational power and in the training sample

13 Feb 2023: 4. This work was started when both authors were at the Gatsby Computational Neuroscience Unit in London, where theIndian buffet is the dominant culinary metaphor.

27 Jan 2023: Statistical Models for Partial Membership. Katherine A. Heller heller@gatsby.ucl.ac.ukSinead Williamson saw56@cam.ac.ukZoubin Ghahramani zoubin@eng.cam.ac.ukEngineering Department, University of Cambridge, Cambridge, UK. ... Gatsby Computational

27 Jan 2023: Yee Whye Teh ywteh@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, WC1N 3AR, UK. ... αβkβst1 if k = K 1. For each 1 t T we need to compute O(K)probabilities, hence the Gibbs sampler has an O(TK)computational

27 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,

27 Jan 2023: Spectral Methods for Automatic Multiscale Data Clustering. Arik AzranGatsby Computational Neuroscience Unit. ... University College LondonLondon WC1N 3AR, UKarik@gatsby.ucl.ac.uk. Zoubin Ghahramani. Department of EngineeringUniversity of

27 Jan 2023: Variable noise and dimensionality reduction forsparse Gaussian processes. Edward SnelsonGatsby Computational Neuroscience Unit. ... University College London17 Queen Square, London WC1N 3AR, UK. snelson@gatsby.ucl.ac.uk. Zoubin GhahramaniDepartment of

27 Jan 2023: Local and global sparse Gaussian process approximations. Edward SnelsonGatsby Computational Neuroscience Unit. ... P. Preparata and M. Shamos. Computational Geometry:An Introduction. Springer-Verlag, 1985. J.

27 Jan 2023: The marginal. Computer Science & Engineering, SUNY at Buffalo, Buffalo, NY, mailto:mbeal@cse.buffalo.edu†Gatsby Computational Neuroscience Unit,University College London, London, UK,. ... mailto:zoubin@gatsby.ucl.ac.uk. c 2006 International Society for

13 Feb 2023: These extra computational resources could be spent in a number of ways,e.g. ... The computational complexity of the PITC approximation depends on theblocking structure imposed in (22).

13 Feb 2023: Gaussian Processes for Ordinal Regression. Wei Chu CHUWEI@GATSBY.UCL.AC.UKZoubin Ghahramani ZOUBIN@GATSBY.UCL.AC.UKGatsby Computational Neuroscience UnitUniversity College LondonLondon, WC1N 3AR, UK. ... 8. The source code in ANSI C is available at http:/

27 Jan 2023: dimen-sions may be due to the computational infeasibility of runningnumerous SSMs to cover the cloud of uncertainty in higherthan two dimensions. ... 453–464. Beal,M.J. (2003) Variational Algorithms for Approximate BayesianInference. PhD Thesis, Gatsby

27 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

27 Jan 2023: MCMC for doubly-intractable distributions. Iain MurrayGatsby Computational. Neuroscience UnitUniversity College London. ... i.murray@gatsby.ucl.ac.uk. Zoubin GhahramaniDepartment of EngineeringUniversity of Cambridgezoubin@eng.cam.ac.uk. David J. C.

27 Jan 2023: Gaussian Processes for Ordinal Regression. Wei Chu CHUWEI@GATSBY.UCL.AC.UKZoubin Ghahramani ZOUBIN@GATSBY.UCL.AC.UKGatsby Computational Neuroscience UnitUniversity College LondonLondon, WC1N 3AR, UK. ... 8. The source code in ANSI C is available at http:/

4 Jul 2024: S. RuttenGatsby Computational Neuroscience UnitUniversity College London, London, UK. & Janelia Research Campus, HHMIAshburn, VA, USA. ... ruttenv@janelia.hhmi.org. Alberto BernacchiaMediaTek Research. Cambourne Business ParkCambridge, UK.

27 Jan 2023: Gatsby Computational Neuroscience Unit 17 Queen Square, LondonUniversity College London WC1N 3AR, United Kingdomhttp://www.gatsby.ucl.ac.uk 44 20 7679 1176. ... Funded in part by the Gatsby Charitable Foundation. May 5, 2005.

27 Jan 2023: Correspondence should be sent to Alexander T. Korenberg, Gatsby Compu-tational Neuroscience Unit, University Col1ege London, 17 Queen Square,London, WC1N 3AR, U.K. ... emai1: alex@gatsby.ucl.ac.uk). ,- - -,- ---. ----- --- - - --. 538 A. T. Korenberg & Z.

20 May 2010: University of RochesterRochester, New York 14627, USAaslin@cvs.rochester.edu. M áté LengyelGatsby Computational Neuroscience Unit. ... University College London17 Queen Square, London WC1N 3AR. United Kingdomlmate@gatsby.ucl.ac.uk. Abstract.

13 Feb 2023: computational effort on more probable values of z, that is, “slice” away less.