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Propagation Algorithms for VariationalBayesian Learning Zoubin…
https://mlg.eng.cam.ac.uk/pub/pdf/GhaBea00a.pdf13 Feb 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk http://www.gatsby.ucl.ac.uk. ... 2] M.J. Beal and Z. Ghahramani. The variational Kalman smoother. Technical -
mfdt.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/AdaStoWil00a.pdf13 Feb 2023: Amos J StorkeyDivision of Informatics. University of Edinburgh,UKa.storkey@ed.ac.uk. Zoubin GhahramaniGatsby Computational Neuroscience Unit. ... This was achieved with a considerablesaving in computational effort and comes close to makingreal time -
Unsupervised Learning Week 2: Latent Variable Models Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course03/lect2.pdf27 Jan 2023: Unsupervised Learning. Week 2: Latent Variable Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
ibpnips4.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/GriGha06.pdf13 Feb 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 -
Propagation Algorithms for VariationalBayesian Learning Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/papers/nips00beal.pdf27 Jan 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk http://www.gatsby.ucl.ac.uk. ... 2] M.J. Beal and Z. Ghahramani. The variational Kalman smoother. Technical -
Unsupervised Learning Week 2: Latent Variable Models Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course04/lect2.pdf27 Jan 2023: Unsupervised Learning. Week 2: Latent Variable Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
Occam’s Razor Carl Edward RasmussenDepartment of Mathematical…
https://mlg.eng.cam.ac.uk/zoubin/papers/occam.pdf27 Jan 2023: carl@imm.dtu.dk http://bayes.imm.dtu.dk. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, England. -
nlds-final.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/GhaRow98a.pdf13 Feb 2023: Roweis. Gatsby Computational Neuroscience UnitUniversity College LondonLondon WC1N 3AR, U.K. http://www.gatsby.ucl.ac.uk/. -
Learning to Parse Images
https://mlg.eng.cam.ac.uk/pub/pdf/HinGhaTeh99a.pdf13 Feb 2023: Hinton and Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College LondonLondon, United Kingdom WC1N 3ARfhinton,zoubing@gatsby.ucl.ac.uk. ... 3] D. Marr. Vision : A Computational Investigation into the Human Representationand -
Randomized Algorithms for Fast Bayesian Hierarchical Clustering…
https://mlg.eng.cam.ac.uk/zoubin/papers/ranbhc.pdf27 Jan 2023: Randomized Algorithms for Fast Bayesian Hierarchical Clustering. Katherine A. Heller and Zoubin GhahramaniGatsby Computational Neuroscience Unit. ... countably infinite) mixture model (DPM). While the original BHCalgorithm has O(n2) computational -
Bayesian Learning of Model Structure Zoubin GhahramaniGatsb y…
https://mlg.eng.cam.ac.uk/zoubin/talks/cmu-talk.pdf27 Jan 2023: Application Areas. computational molecular biology financial time series prediction speech and video processing analysis of functional neuro-imaging data. ... computational neuroscience. -
main.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/SchWinHan09.pdf13 Feb 2023: Since the modes of the conditional densities have closed-formexpressions, the ICM algorithm has a low computational cost per iteration. ... Computational Intelligence and Neuroscience 2008 (Feb 2008). 12. Graham, D.B., Allinson, N.M.: Characterizing -
Infinite Sparse Factor Analysis and InfiniteIndependent Components…
https://mlg.eng.cam.ac.uk/zoubin/papers/ica07knowles.pdf27 Jan 2023: Technical Report 1, Gatsby Computational Neuroscience Unit (2005). 6. Ghahramani, Z., Griffiths, T., Sollich, P.: Bayesian nonparametric latent featuremodels. -
SMEM Algorithm for Mixture Models
https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha98a.pdf13 Feb 2023: Hinton zoubin@gatsby.uc1. ac.uk g.hinton@ucl.ac.uk. Gatsby Computational Neuroscience Unit, University College London 17 Queen Square, London WC1N 3AR, UK. -
nipsderiv.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/SolMurLeietal03.pdf13 Feb 2023: LeithHamilton Institute,National Univ. of. Ireland, Maynooth,Co. Kildare, Irelanddoug.leith@may.ie. C. E. RasmussenGatsby Computational Neuroscience Unit,. ... Afurther practical reason is related to the fact that the computational expense of -
Variational Inference for BayesianMixtures of Factor Analysers Zoubin …
https://mlg.eng.cam.ac.uk/zoubin/papers/nips99.pdf27 Jan 2023: Beal. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk http://www.gatsby.ucl.ac.uk. -
nlds-ftp.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/nlds-ftp.pdf27 Jan 2023: RoweisGatsby Computational Neuroscience UnitUniversity College LondonLondon WC1N 3AR, U.K.http://www.gatsby.ucl.ac.uk/AbstractThe Expectation{Maximization (EM) algorithm is an iterative pro-cedure for maximum likelihood parameter estimation -
Split and Merge EM Algorithm for Improving Gaussian Mixture Density…
https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha00b.pdf13 Feb 2023: ZOUBIN GHAHRAMANI AND GEOFFREY E. HINTONGatsby Computational Neuroscience Unit, University College London, 17 Queen Square, London WC1N 3AR, UK. ... He is currently a Lecturer atthe Gatsby Computational Neuroscience Unit at University CollegeLondon, with -
MCMC for doubly-intractable distributions Iain MurrayGatsby…
https://mlg.eng.cam.ac.uk/zoubin/papers/doubly_intractable.pdf27 Jan 2023: MCMC for doubly-intractable distributions. Iain MurrayGatsby Computational. Neuroscience UnitUniversity College London. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/authors/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 -
ibpnips4.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/ibp-nips05.pdf27 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 -
zgl.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/zgl.pdf27 Jan 2023: Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK. ... For in-stance, obtaining a single labeled example for protein shapeclassification, which is one of the grand challenges of bio-logical and computational science, -
iMGPE.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/RasGha02.pdf13 Feb 2023: Infinite Mixtures of Gaussian Process Experts. Carl Edward RasmussenandZoubin GhahramaniGatsby Computational Neuroscience Unit. ... 1. Initialize indicator variables i to a single value (or a few values if individual GPsare to be kept small for -
Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…
https://mlg.eng.cam.ac.uk/pub/pdf/GhaHel06.pdf13 Feb 2023: Bayesian Sets. Zoubin Ghahramani and Katherine A. HellerGatsby Computational Neuroscience Unit. -
The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...
https://mlg.eng.cam.ac.uk/zoubin/papers/ihmm.pdf27 Jan 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, Englandhttp://www.gatsby.ucl.ac.uk. -
iMGPE.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/iMGPE.pdf27 Jan 2023: Infinite Mixtures of Gaussian Process Experts. Carl Edward RasmussenandZoubin GhahramaniGatsby Computational Neuroscience Unit. ... 1. Initialize indicator variables i to a single value (or a few values if individual GPsare to be kept small for -
Unsupervised Learning Variational Approximations Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course05/lect7var.pdf27 Jan 2023: Unsupervised Learning. Variational Approximations. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
A Probabilistic Model for Online DocumentClustering with Application…
https://mlg.eng.cam.ac.uk/zoubin/papers/zgy-nips04.pdf27 Jan 2023: Zoubin Ghahramani. Gatsby Computational Neuroscience Unit. University College LondonLondon WC1N 3AR, UK. -
Draft version; accepted for NIPS*03 Warped Gaussian Processes Edward…
https://mlg.eng.cam.ac.uk/zoubin/papers/gpwarp.pdf27 Jan 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, UK{snelson,zoubin }@gatsby.ucl.ac.uk. ... Since the computational limiter to a GP is inverting thecovariance matrix, adding a few extra parameters into the -
A Probabilistic Model for Online Document Clustering with Application …
https://mlg.eng.cam.ac.uk/pub/pdf/ZhaGhaYan04a.pdf13 Feb 2023: Jian Zhang††School of Computer ScienceCargenie Mellon University. Pittsburgh, PA 15213jian.zhang@cs.cmu.edu. Zoubin Ghahramani†‡‡ Gatsby Computational Neuroscience Unit. -
Bayesian Classifier Combination Zoubin Ghahramani and Hyun-Chul Kim∗…
https://mlg.eng.cam.ac.uk/zoubin/papers/GhaKim03.pdf27 Jan 2023: Bayesian Classifier Combination. Zoubin Ghahramani and Hyun-Chul Kim. Gatsby Computational Neuroscience UnitUniversity College LondonLondon WC1N 3AR, UK. -
Warped Gaussian Processes Edward Snelson∗ Carl Edward Rasmussen†…
https://mlg.eng.cam.ac.uk/pub/pdf/SneRasGha04.pdf13 Feb 2023: Warped Gaussian Processes. Edward Snelson Carl Edward Rasmussen† Zoubin Ghahramani. Gatsby Computational Neuroscience UnitUniversity College London. ... Since the computational limiter to a GP is inverting thecovariance matrix, adding a few extra -
Unsupervised Learning Latent Variable Time Series Models Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course03/lect4.pdf27 Jan 2023: Unsupervised Learning. Latent Variable Time Series Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/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 -
Unsupervised Learning Latent Variable Time Series Models Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course05/lect4time.pdf27 Jan 2023: Unsupervised Learning. Latent Variable Time Series Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
Function factorization using warped Gaussian processes Mikkel N.…
https://mlg.eng.cam.ac.uk/pub/pdf/Sch09.pdf13 Feb 2023: MIT Press. Schmidt, M., & Laurberg, H. (2008). Nonnegativematrix factorization with gaussian process priors.Computational Intelligence and Neuroscience, 2008.10.1155/2008/361705. ... Smith, S. P. (1995). Differentiation of the choleskyalgorithm. -
Unsupervised Learning Graphical Models Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course04/lect5gm.pdf27 Jan 2023: Unsupervised Learning. Graphical Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
Learning with Multiple Labels
https://mlg.eng.cam.ac.uk/pub/pdf/JinGha02a.pdf13 Feb 2023: rong@es.emu.edu. Zoubin Ghahramanit tGatsby Computational Neuroscience Unit. University College London London WCIN 3AR, UK zoubin@gatsby.ucl.ae.uk. -
Unsupervised Learning Graphical Models Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/course05/lect5gm.pdf27 Jan 2023: Unsupervised Learning. Graphical Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. -
Learning Multiple Related Tasks using Latent Independent Component…
https://mlg.eng.cam.ac.uk/pub/pdf/ZhaGhaYan05a.pdf13 Feb 2023: School of Computer Science ‡ Gatsby Computational Neuroscience UnitCargenie Mellon University University College London. -
The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...
https://mlg.eng.cam.ac.uk/pub/pdf/BeaGhaRas02.pdf13 Feb 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, Englandhttp://www.gatsby.ucl.ac.uk. -
Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…
https://mlg.eng.cam.ac.uk/zoubin/papers/bsets-nips05.pdf27 Jan 2023: Bayesian Sets. Zoubin Ghahramani and Katherine A. HellerGatsby Computational Neuroscience Unit. -
zglactive.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/zglactive.pdf27 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. - -
Learning Multiple Related Tasks using LatentIndependent Component…
https://mlg.eng.cam.ac.uk/zoubin/papers/zgy-nips05.pdf27 Jan 2023: School of Computer Science ‡ Gatsby Computational Neuroscience UnitCargenie Mellon University University College London. -
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 -
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. ... R. Neal. Markov chain sampling methods for Dirichletprocess mixture models. Journal of Computational andGraphical Statistics, -
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,. -
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. ... Wei ChuCenter for Computational Learning SystemsColumbia University, New York, NY 10115.
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