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27 Jan 2023: Bayesian Monte Carlo. Carl Edward RasmussenandZoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, England. ... 102, Novem-ber 1988, Laboratory for Computational Statistics, Department of

13 Feb 2023: rong@es.emu.edu. Zoubin Ghahramanit tGatsby Computational Neuroscience Unit. University College London London WCIN 3AR, UK zoubin@gatsby.ucl.ae.uk.

27 Jan 2023: Infinite Latent Feature Modelsand the Indian Buffet Process. Thomas L. Griffiths Zoubin GhahramaniCognitive and Linguistic Sciences Gatsby Computational Neuroscience UnitBrown University, Providence RI University College London, Londontom

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

27 Jan 2023: Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK. ... As a final word on computational efficiency, wenote that after adding query and its answer to , inthe next iteration we will need to compute 8z 0. -

27 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

27 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 ... gatsby.ucl.ac.uk.

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: 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,. ... London WC1N 3AR, Englandzoubin@gatsby.ucl.ac.uk. Abstract. In

13 Feb 2023: Many existing algorithms restart training for each new hyperparameter choice, at considerable computational cost. ... We compare this scheme against natural baselines in literature along with stochastic variational GPs (SVGPs) along with an extensive

27 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.

27 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. ... Acknowledgements. Y. Qi was supported

27 Jan 2023: MATTHEW J. BEAL and ZOUBIN GHAHRAMANIGatsby Computational Neuroscience Unit, UCL, UK. ... thesis, GatsbyComputational Neuroscience Unit, University College London. Bishop, C. M. (1999).

13 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. ... Acknowledgements. Y. Qi was supported

13 Feb 2023: 2005). Infinite latent fea-ture models and the Indian buffet process. TR 2005-001,Gatsby Computational Neuroscience Unit.

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: Unsupervised Learning. Propagation on Factor Graphs. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

13 Feb 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/. 396 MURRAY &

27 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.

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.

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@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: Gatsby Computational Neuroscience Unit, UCL,London, WC1N 3AR, UK,. hckim,zoubin @gatsby.ucl.ac.uk,http://www.gatsby.ucl.ac.uk. Abstract. ... Acknowledgement. This work was done while Hyun-Chul was a visiting PhD student at the Gatsby Unit,through BK21

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

27 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.

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.

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.

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

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

27 Jan 2023: Graphical models: parameter learning. Zoubin Ghahramani. Gatsby Computational Neuroscience Unit. University College London. ... Computational Statistics and Data Analysis, 19:177–189. Jordan, M. I., editor (1998).

27 Jan 2023: Graphical models: parameter learning. Zoubin Ghahramani. Gatsby Computational Neuroscience Unit. University College London. ... Computational Statistics and Data Analysis, 19:177–189. Jordan, M. I., editor (1998).

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: 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: 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: 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

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 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

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: 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.

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: 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: 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: 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: 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

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

27 Jan 2023: Unsupervised Learning. Variational Approximations. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... Machine Learning 37:183-233. Available

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