Arnaud Doucet Vis

*	2009
31	EE	Hendrik Kück, Matthew Hoffman, Arnaud Doucet, Nando de Freitas: Inference and Learning for Active Sensing, Experimental Design and Control. IbPRIA 2009: 1-10
30	EE	Smita Sadhu, Shovan Bhaumik, Arnaud Doucet, T. K. Ghoshal: Particle-method-based formulation of risk-sensitive filter. Signal Processing 89(3): 314-319 (2009)
	2008
29	EE	Francois Caron, Arnaud Doucet: Sparse Bayesian nonparametric regression. ICML 2008: 88-95
28	EE	Ajay Jasra, Arnaud Doucet, David A. Stephens, Christopher C. Holmes: Interacting sequential Monte Carlo samplers for trans-dimensional simulation. Computational Statistics & Data Analysis 52(4): 1765-1791 (2008)
27	EE	Francois Caron, Manuel Davy, Arnaud Doucet, Emmanuel Duflos, Philippe Vanheeghe: Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures. IEEE Transactions on Signal Processing 56(1): 71-84 (2008)
26	EE	Adam M. Johansen, Arnaud Doucet, Manuel Davy: Particle methods for maximum likelihood estimation in latent variable models. Statistics and Computing 18(1): 47-57 (2008)
	2007
25	EE	Matthew Hoffman, Arnaud Doucet, Nando de Freitas, Ajay Jasra: Bayesian Policy Learning with Trans-Dimensional MCMC. NIPS 2007
24	EE	Ruben Martinez-Cantin, Nando de Freitas, Arnaud Doucet, José A. Castellanos: Active Policy Learning for Robot Planning and Exploration under Uncertainty. Robotics: Science and Systems 2007
23	EE	Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Arnaud Doucet, Robin J. Evans: Simulation-based optimal sensor scheduling with application to observer trajectory planning. Automatica 43(5): 817-830 (2007)
22	EE	Sumeetpal S. Singh, Vladislav B. Tadic, Arnaud Doucet: A policy gradient method for semi-Markov decision processes with application to call admission control. European Journal of Operational Research 178(3): 808-818 (2007)
21	EE	Simon I. Hill, Arnaud Doucet: A Framework for Kernel-Based Multi-Category Classification. J. Artif. Intell. Res. (JAIR) 30: 525-564 (2007)
	2006
20	EE	Mike Klaas, Mark Briers, Nando de Freitas, Arnaud Doucet, Simon Maskell, Dustin Lang: Fast particle smoothing: if I had a million particles. ICML 2006: 481-488
	2005
19	EE	Simon I. Hill, Arnaud Doucet: Adapting two-class support vector classification methods to many class problems. ICML 2005: 313-320
18	EE	Mike Klaas, Nando de Freitas, Arnaud Doucet: Toward Practical N2 Monte Carlo: the Marginal Particle Filter. UAI 2005: 308-315
	2003
17	EE	Jaco Vermaak, Arnaud Doucet, Patrick Pérez: Maintaining Multi-Modality through Mixture Tracking. ICCV 2003: 1110-1116
16	EE	Jaco Vermaak, Simon J. Godsill, Arnaud Doucet: Sequential Bayesian Kernel Regression. NIPS 2003
15		Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan: An Introduction to MCMC for Machine Learning. Machine Learning 50(1-2): 5-43 (2003)
	2002
14	EE	Sumetpal Singh, Vladislav Tadic, Arnaud Doucet: A policy gradient method for SMDPs with application to call admission control. ICARCV 2002: 1268-1274
13		Shien-Shin Tham, Arnaud Doucet, Kotagiri Ramamohanarao: Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo. ICML 2002: 634-641
12	EE	Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, Simon J. Godsill: Particle methods for Bayesian modeling and enhancement of speech signals. IEEE Transactions on Speech and Audio Processing 10(3): 173-185 (2002)
11	EE	Arnaud Doucet, Simon J. Godsill, Christian P. Robert: Marginal maximum a posteriori estimation using Markov chain Monte Carlo. Statistics and Computing 12(1): 77-84 (2002)
	2001
10	EE	Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Rao-Blackwellised Particle Filtering via Data Augmentation. NIPS 2001: 561-567
9	EE	Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Robust Full Bayesian Learning for Radial Basis Networks. Neural Computation 13(10): 2359-2407 (2001)
8	EE	Christophe Andrieu, Petar M. Djuric, Arnaud Doucet: Model selection by MCMC computation. Signal Processing 81(1): 19-37 (2001)
	2000
7		Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan: The Unscented Particle Filter. NIPS 2000: 584-590
6	EE	Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Reversible Jump MCMC Simulated Annealing for Neural Networks. UAI 2000: 11-18
5	EE	Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. UAI 2000: 176-183
4		Christophe Andrieu, Arnaud Doucet: Simulated annealing for maximum a Posteriori parameter estimation of hidden Markov models. IEEE Transactions on Information Theory 46(3): 994-1004 (2000)
3		João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee, Arnaud Doucet: Sequential Monte Carlo Methods to Train Neural Network Models. Neural Computation 12(4): 955-993 (2000)
	1999
2	EE	Christophe Andrieu, João F. G. de Freitas, Arnaud Doucet: Robust Full Bayesian Methods for Neural Networks. NIPS 1999: 379-385
	1998
1	EE	João F. G. de Freitas, Mahesan Niranjan, Arnaud Doucet, Andrew H. Gee: Global Optimisation of Neural Network Models via Sequential Sampling. NIPS 1998: 410-416

Coauthor Index

1	Christophe Andrieu	[2] [4] [6] [8] [9] [10] [12] [15]
2	Shovan Bhaumik	[30]
3	Mark Briers	[20]
4	Francois Caron	[27] [29]
5	José A. Castellanos	[24]
6	Manuel Davy	[26] [27]
7	Petar M. Djuric	[8]
8	Emmanuel Duflos	[27]
9	Robin J. Evans	[23]
10	João F. G. de Freitas	[1] [2] [3]
11	Nando de Freitas	[5] [6] [7] [9] [10] [15] [18] [20] [24] [25] [31]
12	Andrew H. Gee	[1] [3]
13	T. K. Ghoshal	[30]
14	Simon J. Godsill	[11] [12] [16]
15	Simon I. Hill	[19] [21]
16	Matthew Hoffman	[25] [31]
17	Christopher C. Holmes	[28]
18	Ajay Jasra	[25] [28]
19	Adam M. Johansen	[26]
20	Michael I. Jordan	[15]
21	Nikolaos Kantas	[23]
22	Mike Klaas	[18] [20]
23	Hendrik Kück	[31]
24	Dustin Lang	[20]
25	Ruben Martinez-Cantin	[24]
26	Simon Maskell	[20]
27	Rudolph van der Merwe	[7]
28	Kevin P. Murphy	[5]
29	Mahesan Niranjan	[1] [3]
30	Patrick Pérez	[17]
31	Kotagiri Ramamohanarao	[13]
32	Christian P. Robert	[11]
33	Stuart J. Russell	[5]
34	Smita Sadhu	[30]
35	Sumeetpal S. Singh	[22] [23]
36	Sumetpal Singh	[14]
37	David A. Stephens	[28]
38	Vladislav Tadic	[14]
39	Vladislav B. Tadic	[22]
40	Shien-Shin Tham	[13]
41	Philippe Vanheeghe	[27]
42	Jaco Vermaak	[12] [16] [17]
43	Ba-Ngu Vo	[23]
44	Eric A. Wan	[7]

Colors in the list of coauthors