David Barber

	2012
42		Thomas Furmston, David Barber: Efficient Inference in Markov Control Problems CoRR abs/1202.3720: (2012)
	2011
41		Thomas Furmston, David Barber: Lagrange Dual Decomposition for Finite Horizon Markov Decision Processes. ECML/PKDD (1) 2011: 487-502
40		Thomas Furmston, David Barber: Efficient Inference in Markov Control Problems. UAI 2011: 221-229
39		David Barber, Piërre van de Laar: Variational Cumulant Expansions for Intractable Distributions CoRR abs/1105.5455: (2011)
38		Nikos Vlassis, Michael L. Littman, David Barber: On the computational complexity of stochastic controller optimization in POMDPs CoRR abs/1107.3090: (2011)
37		Chris Bracegirdle, David Barber: Switch-Reset Models : Exact and Approximate Inference. Journal of Machine Learning Research - Proceedings Track 15: 190-198 (2011)
36		Edward Challis, David Barber: Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models. Journal of Machine Learning Research - Proceedings Track 15: 199-207 (2011)
	2010
35		Thomas Furmston, David Barber: Variational methods for Reinforcement Learning. Journal of Machine Learning Research - Proceedings Track 9: 241-248 (2010)
	2008
34		David Barber: Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices. UAI 2008: 26-33
	2007
33		Bertrand Mesot, David Barber: Switching Linear Dynamical Systems for Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech & Language Processing 15(6): 1850-1858 (2007)
	2006
32		Mike Perrow, David Barber: Tagging of name records for genealogical data browsing. JCDL 2006: 316-325
31		David Barber, Silvia Chiappa: Unified Inference for Variational Bayesian Linear Gaussian State-Space Models. NIPS 2006: 81-88
30		David Barber, Bertrand Mesot: A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems. NIPS 2006: 89-96
29		David Barber: Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems. Journal of Machine Learning Research 7: 2515-2540 (2006)
28		Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner: Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning. Neural Computation 18(6): 1318-1348 (2006)
27		Silvia Chiappa, David Barber: EEG classification using generative independent component analysis. Neurocomputing 69(7-9): 769-777 (2006)
	2005
26		Silvia Chiappa, David Barber: generative independent component analysis for EEG classification. ESANN 2005: 297-302
25		Jean-François Paiement, Douglas Eck, Samy Bengio, David Barber: A graphical model for chord progressions embedded in a psychoacoustic space. ICML 2005: 641-648
24		Felix V. Agakov, David Barber: Kernelized Infomax Clustering. NIPS 2005
23		Felix V. Agakov, David Barber: Auxiliary Variational Information Maximization for Dimensionality Reduction. SLSFS 2005: 103-114
22		David Barber: Islands of the Arctic. Cartographica 40(3): 128-129 (2005)
	2004
21		Felix V. Agakov, David Barber: Variational Information Maximization for Neural Coding. ICONIP 2004: 543-548
20		Felix V. Agakov, David Barber: An Auxiliary Variational Method. ICONIP 2004: 561-566
	2003
19		Felix V. Agakov, David Barber: Approximate Learning in Temporal Hidden Hopfield Models. ICANN 2003: 107-114
18		Jean-Pascal Pfister, David Barber, Wulfram Gerstner: Optimal Hebbian Learning: A Probabilistic Point of View. ICANN 2003: 92-98
17		David Barber, Felix V. Agakov: The IM Algorithm: A Variational Approach to Information Maximization. NIPS 2003
	2002
16		David Barber: Learning in Spiking Neural Assemblies. NIPS 2002: 149-156
15		David Barber: Dynamic Bayesian Networks with Deterministic Latent Tables. NIPS 2002: 713-720
	2001
14		Machiel Westerdijk, David Barber, Wim Wiegerinck: Deterministic Generative Models for Fast Feature Discovery. Data Min. Knowl. Discov. 5(4): 337-363 (2001)
	1999
13		David Barber, Peter Sollich: Gaussian Fields for Approximate Inference in Layered Sigmoid Belief Networks. NIPS 1999: 393-399
12		David Barber, Piërre van de Laar: Variational Cumulant Expansions for Intractable Distributions. J. Artif. Intell. Res. (JAIR) 10: 435-455 (1999)
	1998
11		David Barber, Wim Wiegerinck: Tractable Variational Structures for Approximating Graphical Models. NIPS 1998: 183-189
10		Christopher K. I. Williams, David Barber: Bayesian Classification With Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 20(12): 1342-1351 (1998)
9		Peter Sollich, David Barber: Online Learning from Finite Training Sets and Robustness to Input Bias. Neural Computation 10(8): 2201-2217 (1998)
	1997
8		David Barber, Christopher M. Bishop: Ensemble Learning for Multi-Layer Networks. NIPS 1997
7		Peter Sollich, David Barber: On-line Learning from Finite Training Sets in Nonlinear Networks. NIPS 1997
6		David Barber, Bernhard Schottky: Radial Basis Functions: A Bayesian Treatment. NIPS 1997
5		David Barber: OhioLINK: A Consortial Approach to Digital Library Management. D-Lib Magazine 3(4): (1997)
	1996
4		Peter Sollich, David Barber: Online Learning from Finite Training Sets: An Analytical Case Study. NIPS 1996: 274-280
3		David Barber, Christopher M. Bishop: Bayesian Model Comparison by Monte Carlo Chaining. NIPS 1996: 333-339
2		David Barber, Christopher K. I. Williams: Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo. NIPS 1996: 340-346
	1995
1		David Barber, David Saad: Knowledge and generalisation in simple learning systems. ESANN 1995

Coauthor Index

1	Felix V. Agakov	[17] [19] [20] [21] [23] [24]
2	Samy Bengio	[25]
3	Christopher M. Bishop	[3] [8]
4	Chris Bracegirdle	[37]
5	Edward Challis	[36]
6	Silvia Chiappa	[26] [27] [31]
7	Douglas Eck	[25]
8	Thomas Furmston	[35] [40] [41] [42]
9	Wulfram Gerstner	[18] [28]
10	Piërre van de Laar	[12] [39]
11	Michael L. Littman	[38]
12	Bertrand Mesot	[30] [33]
13	Jean-François Paiement	[25]
14	Mike Perrow	[32]
15	Jean-Pascal Pfister	[18] [28]
16	David Saad	[1]
17	Bernhard Schottky	[6]
18	Peter Sollich	[4] [7] [9] [13]
19	Taro Toyoizumi	[28]
20	Nikos Vlassis	[38]
21	Machiel Westerdijk	[14]
22	Wim Wiegerinck	[11] [14]
23	Christopher K. I. Williams	[2] [10]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page