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27 Jan 2023: Bayesian Learning in Undirected Graphical Models:Approximate MCMC algorithms. Iain Murray and Zoubin GhahramaniGatsby Computational Neuroscience Unit.

13 Feb 2023: Gatsby Computational Neuroscience Unit. Heller, K., & Ghahramani, Z. (2007). A nonparamet-ric bayesian approach to modeling overlapping clusters.AISTATS.

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).

13 Feb 2023: Zoubin GhahramaniGeoffrey E. HintonGatsby Computational Neuroscience Unit, University College London, London WC1N3AR, U.K. ... 4.2). Here Id is the d-dimensional unit matrix, and λ is a regularization constantdetermined by some validation data.

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.

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. ... The computational efficiencyarises because the covariance KSPGPN consists of a sumof a low rank part and a diagonal part,

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: Stick-breaking Construction for the Indian Buffet Process. Yee Whye TehGatsby Computational Neuroscience Unit. ... zero mean unit variance Gaussian entries. We modeleachxi as. xi|Z, Y, A, σ2X N ((zi,: yi,:)A, σ.

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: Gatsby Computational Neuroscience Unit. Heller, K., & Ghahramani, Z. (2007). A nonparamet-ric bayesian approach to modeling overlapping clusters.AISTATS.

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