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First name:	David
Last name:	Barber
DBLP:	47/4760
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	Conference paper David Barber. Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices	CoRR 2012, Volume 0	(0)	2012
	Conference paper Thomas Furmston, David Barber. Efficient Inference in Markov Control Problems	CoRR 2012, Volume 0	(0)	2012
	Conference paper Nikos Vlassis, Michael L. Littman, David Barber. On the Computational Complexity of Stochastic Controller Optimization in POMDPs.	TOCT 2012, Volume 4	(0)	2012
	Journal article Joe Staines, David Barber. Variational Optimization	CoRR 2012, Volume 0	(0)	2012
	Conference paper Chris Bracegirdle, David Barber. Bayesian Conditional Cointegration.	Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 2012	(0)	2012
	Conference paper Edward Challis, David Barber. Affine Independent Variational Inference.	Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. 2012	(0)	2012
	Conference paper Thomas Furmston, David Barber. A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes.	Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. 2012	(0)	2012
	Conference paper David Barber, Piërre van de Laar. Variational Cumulant Expansions for Intractable Distributions	CoRR 2011, Volume 0	(0)	2011
	Journal article Nikos Vlassis, Michael L. Littman, David Barber. On the computational complexity of stochastic controller optimization in POMDPs	CoRR 2011, Volume 0	(0)	2011
	Conference paper Thomas Furmston, David Barber. Lagrange Dual Decomposition for Finite Horizon Markov Decision Processes.	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I 2011	(0)	2011
	Journal article Edward Challis, David Barber. Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models.	Journal of Machine Learning Research - Proceedings Track 2011, Volume 15	(0)	2011
	Journal article Chris Bracegirdle, David Barber. Switch-Reset Models : Exact and Approximate Inference.	Journal of Machine Learning Research - Proceedings Track 2011, Volume 15	(0)	2011
	Conference paper Thomas Furmston, David Barber. Efficient Inference in Markov Control Problems.	UAI 2011, Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 14-17, 2011 2011	(0)	2011
	Conference paper Pablo Lamata, Steven Niederer, David Barber, David Norsletten, Jack Lee, Rod Hose, Nic Smith. Personalization of Cubic Hermite Meshes for Efficient Biomechanical Simulations.	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010, 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part II 2010	(0)	2010
	Journal article Thomas Furmston, David Barber. Variational methods for Reinforcement Learning.	Journal of Machine Learning Research - Proceedings Track 2010, Volume 9	(0)	2010
	Conference paper David Barber. Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices.	UAI 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, Helsinki, Finland, July 9-12, 2008 2008	(0)	2008
	Conference paper Bertrand Mesot, David Barber. Switching Linear Dynamical Systems for Noise Robust Speech Recognition.	IEEE Transactions on Audio, Speech Language Processing 2007, Volume 15	(0)	2007
	Conference paper Mike Perrow, David Barber. Tagging of name records for genealogical data browsing.	ACM/IEEE Joint Conference on Digital Libraries, JCDL 2006, Chapel Hill, NC, USA, June 11-15, 2006, Proceedings 2006	(0)	2006
	Conference paper David Barber, Silvia Chiappa. Unified Inference for Variational Bayesian Linear Gaussian State-Space Models.	Advances in Neural Information Processing Systems 19, Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 4-7, 2006 2007	(0)	2006
	Conference paper David Barber, Bertrand Mesot. A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems.	Advances in Neural Information Processing Systems 19, Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 4-7, 2006 2007	(0)	2006
	Conference paper Silvia Chiappa, David Barber. EEG classification using generative independent component analysis.	Neurocomputing 2006, Volume 69	(0)	2006
	Conference paper David Barber. Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems.	Journal of Machine Learning Research 2006, Volume 7	(0)	2006
	Conference paper Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner. Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning.	Neural Computation 2006, Volume 18	(0)	2006
	Journal article David Barber. Islands of the Arctic.	Cartographica 2005, Volume 40	(0)	2005
	Conference paper Silvia Chiappa, David Barber. generative independent component analysis for EEG classification.	ESANN 2005, 13th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 27-29, 2005, Proceedings 2005	(0)	2005

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