Rattray, Magnus

13 publications

TMLR 2025 Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference Xiaoyu Jiang, Sokratia Georgaka, Magnus Rattray, Mauricio A Álvarez

TMLR 2023 Modelling Sequential Branching Dynamics with a Multivariate Branching Gaussian Process Elvijs Sarkans, Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas

NeurIPS 2012 Fast Variational Inference in the Conjugate Exponential Family James Hensman, Magnus Rattray, Neil D. Lawrence

AISTATS 2010 Dense Message Passing for Sparse Principal Component Analysis Kevin Sharp, Magnus Rattray

NeurIPS 2008 Efficient Sampling for Gaussian Process Inference Using Control Variables Neil D. Lawrence, Magnus Rattray, Michalis K. Titsias

NeurIPS 2007 A Probabilistic Model for Generating Realistic Lip Movements from Speech Gwenn Englebienne, Tim Cootes, Magnus Rattray

NeurIPS 2006 Modelling Transcriptional Regulation Using Gaussian Processes Neil D. Lawrence, Guido Sanguinetti, Magnus Rattray

COLT 2004 A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra David C. Hoyle, Magnus Rattray

NeurIPS 2003 Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA David Hoyle, Magnus Rattray

JMLR 2003 Statistical Dynamics of On-Line Independent Component Analysis Gleb Basalyga, Magnus Rattray

NeCo 2002 Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis Magnus Rattray

NeurIPS 2001 Scaling Laws and Local Minima in Hebbian ICA Magnus Rattray, Gleb Basalyga

NeurIPS 1997 Globally Optimal On-Line Learning Rules Magnus Rattray, David Saad