Optimal kernel choice for large-scale two-sample tests Arthur Gretton,1,3 Bharath Sriperumbudur,1 Dino Sejdinovic,1 Heiko Strathmann2 1 Gatsby Unit and 2 CSD, CSML, UCL, UK; 3 MPI for Intelligent Systems, Germany {arthu

Source URL: www.gatsby.ucl.ac.uk

Optimal Rates for Random Fourier Features Bharath K. Sriperumbudur∗ Department of Statistics Pennsylvania State University University Park, PA 16802, USA

Source URL: www.gatsby.ucl.ac.uk

Kernel Belief Propagation 1 Le Song,1 Arthur Gretton,1,2 Danny Bickson,1 Yucheng Low,1 Carlos Guestrin1 School of Computer Science, CMU; 2 Gatsby Computational Neuroscience Unit & MPI for Biological Cybernetics

Source URL: select.cs.cmu.edu

• Statistics
• Probability
• Mathematical analysis
• Machine learning
• Hilbert space
• Graphical models
• Probability theory
• Belief propagation
• Coding theory
• Positive-definite kernel
• Mixture model
• Normal distribution

Optimal Rates for the Random Fourier Feature Method∗ Zolt´an Szab´o (Gatsby Unit, University College London) Abstract: Kernel methods represent one of the most powerful tools in machine learning to tackle problems ex

Source URL: www.gatsby.ucl.ac.uk

To appear in Advances in Neural Information Processing Systems 13, eds. T.K. Leen, T. Dietterich, V. Tresp, MIT Press, 2001. Propagation Algorithms for Variational Bayesian Learning

Source URL: www.gatsby.ucl.ac.uk

Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions Xiaojin Zhu ZHUXJ @ CS . CMU . EDU Zoubin Ghahramani ZOUBIN @ GATSBY. UCL . AC . UK

Source URL: pages.cs.wisc.edu

Spectral Methods for Automatic Multiscale Data Clustering Arik Azran Gatsby Computational Neuroscience Unit University College London London WC1N 3AR, UK

Source URL: mlg.eng.cam.ac.uk

2016! Program chairs Arthur Gre)on, Gatsby Unit, UCL Chris5an Robert, Ceremade - Université Paris-Dauphine

Source URL: www.aistats.org

Nested sampling for Potts models Iain Murray Gatsby Computational Neuroscience Unit University College London

Source URL: mlg.eng.cam.ac.uk

BAYESIAN STATISTICS 7, pp. 000–000 J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West (Eds.) c Oxford University Press, 2003

Source URL: www.gatsby.ucl.ac.uk