Arnaud Doucet

2008
24	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)
23	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)
22	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
21	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
20	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)
19	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)
18	EE	Simon I. Hill, Arnaud Doucet: A Framework for Kernel-Based Multi-Category Classification. J. Artif. Intell. Res. (JAIR) 30: 525-564 (2007)
2006
17	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
16	EE	Simon I. Hill, Arnaud Doucet: Adapting two-class support vector classification methods to many class problems. ICML 2005: 313-320
15	EE	Mike Klaas, Nando de Freitas, Arnaud Doucet: Toward Practical N2 Monte Carlo: the Marginal Particle Filter. UAI 2005: 308-315
2003
14	EE	Jaco Vermaak, Arnaud Doucet, Patrick Pérez: Maintaining Multi-Modality through Mixture Tracking. ICCV 2003: 1110-1116
13	EE	Jaco Vermaak, Simon J. Godsill, Arnaud Doucet: Sequential Bayesian Kernel Regression. NIPS 2003
12		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
11		Shien-Shin Tham, Arnaud Doucet, Kotagiri Ramamohanarao: Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo. ICML 2002: 634-641
10	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
9	EE	Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Rao-Blackwellised Particle Filtering via Data Augmentation. NIPS 2001: 561-567
8	EE	Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Robust Full Bayesian Learning for Radial Basis Networks. Neural Computation 13(10): 2359-2407 (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] [12]
2	Mark Briers	[17]
3	Francois Caron	[23]
4	José A. Castellanos	[21]
5	Manuel Davy	[22] [23]
6	Emmanuel Duflos	[23]
7	Robin J. Evans	[20]
8	João F. G. de Freitas	[1] [2] [3]
9	Nando de Freitas	[5] [6] [7] [8] [9] [12] [15] [17] [21]
10	Andrew H. Gee	[1] [3]
11	Simon J. Godsill	[10] [13]
12	Simon I. Hill	[16] [18]
13	Christopher C. Holmes	[24]
14	Ajay Jasra	[24]
15	Adam M. Johansen	[22]
16	Michael I. Jordan	[12]
17	Nikolaos Kantas	[20]
18	Mike Klaas	[15] [17]
19	Dustin Lang	[17]
20	Ruben Martinez-Cantin	[21]
21	Simon Maskell	[17]
22	Rudolph van der Merwe	[7]
23	Kevin P. Murphy	[5]
24	Mahesan Niranjan	[1] [3]
25	Patrick Pérez	[14]
26	Kotagiri Ramamohanarao	[11]
27	Christian P. Robert	[10]
28	Stuart J. Russell	[5]
29	Sumeetpal S. Singh	[19] [20]
30	David A. Stephens	[24]
31	Vladislav B. Tadic	[19]
32	Shien-Shin Tham	[11]
33	Philippe Vanheeghe	[23]
34	Jaco Vermaak	[13] [14]
35	Ba-Ngu Vo	[20]
36	Eric A. Wan	[7]

Colors in the list of coauthors