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PASCAL Network

Full Name	David Barber
Title	Researcher
Site	University College, London
Status	Researcher
Tel	+44 (0)20 7679 4151
Fax	+44 (0)20 7387 1397
WWW	www.cs.ucl.ac.uk/staff/D.Barber
Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Machine Vision
Speech
Natural Language Processing
Information Retrieval & Textual Information Access
Multimodal Integration

Publications

Number of records: 39.

	Expectation-Maximization methods for solving (PO)MDPs and optimal control problems Marc Toussaint, Amos Storkey and Stefan Harmeling Book Section Item not available online. (June 2011)
	Graphical Models for Time Series David Barber and Taylan Cemgil Article Item not available online. (10 November 2010)
	Inference and estimation in probabilistic time series models David Barber, Taylan Cemgil and Silvia Chiappa Book Section Item not available online. (April 2011)
	A graphical model for chord progressions embedded in a psychoacoustic space Jean-Francois Paiement, Douglas Eck, Samy Bengio and David Barber Conference or Workshop Item (August 2005)
	A methodological framework for Monte Carlo probabilistic inference for diffusion processes. Omiros Papaspiliopoulos Book Section (05 August 2009)
	A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems David Barber and Bertrand Mesot Conference or Workshop Item (December 2006)
	A Simple Alternative Derivation of the Expectation Correction Algorithm David Barber and Bertrand Mesot Article (February 2009)
	An Auxiliary Variational Method Felix Agakov and David Barber Conference or Workshop Item (2004)
	An Auxiliary Variational Method Felix Agakov and David Barber Monograph (April 2004)
	Approximate inference in switching linear dynamical systems using Gaussian mixtures David Barber Book Section Item not available online. (April 2011)
	Auxiliary Variational Information Maximization for Dimensionality Reduction Felix Agakov and David Barber Conference or Workshop Item (July 2005)
	Bayesian Factorial Linear Gaussian State-Space Models for Biosignal Decomposition Silvia Chiappa and David Barber Article Item not available online. (2007)
	Bayesian Reasoning and Machine Learning David Barber Book Item not available online. (August 2011)
	Bayesian Time Series Models Book Item not available online. (May 2011)
	Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices David Barber Article (09 July 2008)
	Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models Edward Challis and David Barber Conference or Workshop Item Item not available online. (April 2011)
	Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach Silvia Chiappa and David Barber Monograph Item not available online. (June 2007)
	EEG Classification using Generative Independent Component Analysis Silvia Chiappa and David Barber Article (July 2005)
	Expectation Correction for an augmented class of Switching Linear Gaussian Models David Barber Monograph (March 2005)
	Expectation Correction for smoothing in Switching Linear Gaussian State Space models David Barber Article (February 2005)
	Expectation-Maximization methods for solving (PO)MDPs and optimal control problems Marc Toussaint, Amos Storkey and Stefan Harmeling Book Section Item not available online. (2011)
	Generative Independent Component Analysis for EEG Classification Silvia Chiappa and David Barber Conference or Workshop Item Item not available online. (April 2005)
	Generative Temporal ICA for Classification in Asynchronous BCI Systems Silvia Chiappa and David Barber Conference or Workshop Item Item not available online. (March 2005)
	Identifying Graph Clusters using Variational Inference and links to Covariance Parameterisation David Barber Article (November 2008)
	Identifying graph clusters using variational inference and links to covariance parametrization David Barber Article (13 November 2009)
	Inference and Estimation in Probabilistic Time-Series Models David Barber and Silvia Chiappa Book (18 June 2008)
	Kernelized Infomax Clustering Felix Agakov and David Barber Conference or Workshop Item (04 June 2005)
	Nonlinear Encoder Models for Information-Theoretic Clustering Felix Agakov and David Barber Conference or Workshop Item (04 July 2005)
	Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Leraning Jean-Pascal Pfister, Taro Toyoizumi, David Barber and Wulfram Gerstner Article (2004)
	Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models Silvia Chiappa and David Barber Conference or Workshop Item Item not available online. (September 2007)
	Solving deterministic policy (PO)MPDs using Expectation-Maximisation and Antifreeze David Barber and Tom Furmston Article (07 September 2009)
	Stable Directed Belief Propagation in Gaussian DAGs using the auxiliary variable trick David Barber and Peter Sollich Conference or Workshop Item (03 June 2005)
	Switch-Reset Models : Exact and Approximate Inference Chris Bracegirdle and David Barber Conference or Workshop Item Item not available online. (April 2011)
	Tagging of name records for genealogical data browsing Mike Perrow and David Barber Conference or Workshop Item (June 2006)
	Two problems with variational expectation maximisation for time-series models Richard Turner and Maneesh Sahani Book Section Item not available online. (2011)
	Unified Inference for Variational Bayesian Linear Gaussian State-Space Models David Barber and Silvia Chiappa Conference or Workshop Item Item not available online. (June 2006)
	Variational Information Maximization for Neural Coding Felix Agakov and David Barber Conference or Workshop Item (2004)
	Variational Information Maximization in Gaussian Channels Felix Agakov and David Barber Monograph (April 2004)
	Variational methods for Reinforcement Learning David Barber and Tom Furmston Conference or Workshop Item Item not available online. (November 2009)

This list was generated on Sun May 19 05:31:27 BST 2013.