Arnaud Doucet

	2012
63		Francois Caron, Arnaud Doucet, Raphael Gottardo: On-line changepoint detection and parameter estimation with application to genomic data. Statistics and Computing 22(1): 579-595 (2012)
62		Francois Caron, Arnaud Doucet, Raphael Gottardo: On-line changepoint detection and parameter estimation with application to genomic data. Statistics and Computing 22(2): 579-595 (2012)
	2011
61		Vladislav B. Tadic, Arnaud Doucet: Asymptotic bias of stochastic gradient search. CDC-ECE 2011: 722-727
60		Seokhwan Jo, Chang D. Yoo, Arnaud Doucet: Melody Tracking Based on Sequential Bayesian Model. J. Sel. Topics Signal Processing 5(6): 1216-1227 (2011)
59		Francois Caron, Pierre Del Moral, Arnaud Doucet, Michele Pace: Particle Approximation of the Intensity Measures of a Spatial Branching Point Process Arising in Multitarget Tracking. SIAM J. Control and Optimization 49(4): 1766-1792 (2011)
	2010
58		Arnaud Doucet, Adam M. Johansen, Vladislav B. Tadic: On solving integral equations using Markov chain Monte Carlo methods. Applied Mathematics and Computation 216(10): 2869-2880 (2010)
57		Ido Nevat, Gareth W. Peters, Arnaud Doucet, Jinhong Yuan: Channel Tracking for Relay Networks via Adaptive Particle MCMC CoRR abs/1006.3151: (2010)
56		Audrey Giremus, Jean-Yves Tourneret, Arnaud Doucet: A Fixed-Lag Particle Filter for the Joint Detection/Compensation of Interference Effects in GPS Navigation. IEEE Transactions on Signal Processing 58(12): 6066-6079 (2010)
55		Pierre Minvielle, Arnaud Doucet, Alan Marrs, Simon Maskell: A Bayesian approach to joint tracking and identification of geometric shapes in video sequences. Image Vision Comput. 28(1): 111-123 (2010)
	2009
54		Hendrik Kück, Matthew D. Hoffman, Arnaud Doucet, Nando de Freitas: Inference and Learning for Active Sensing, Experimental Design and Control. IbPRIA 2009: 1-10
53		Francois Caron, Arnaud Doucet: Bayesian Nonparametric Models on Decomposable Graphs. NIPS 2009: 225-233
52		Matthias Hoffman, Hendrik Kück, Nando de Freitas, Arnaud Doucet: New inference strategies for solving Markov Decision Processes using reversible jump MCMC. UAI 2009: 223-231
51		Ruben Martinez-Cantin, Nando de Freitas, Eric Brochu, José A. Castellanos, Arnaud Doucet: A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot. Auton. Robots 27(2): 93-103 (2009)
50		Shahzia Anjum, Arnaud Doucet, Christopher C. Holmes: A boosting approach to structure learning of graphs with and without prior knowledge. Bioinformatics 25(22): 2929-2936 (2009)
49		Matthew D. Hoffman, Nando de Freitas, Arnaud Doucet, Jan Peters: An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward. Journal of Machine Learning Research - Proceedings Track 5: 232-239 (2009)
48		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
47		Francois Caron, Arnaud Doucet: Sparse Bayesian nonparametric regression. ICML 2008: 88-95
46		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)
45		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)
44		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
43		Matthew D. Hoffman, Arnaud Doucet, Nando de Freitas, Ajay Jasra: Bayesian Policy Learning with Trans-Dimensional MCMC. NIPS 2007
42		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
41		Francois Caron, Manuel Davy, Arnaud Doucet: Generalized Polya Urn for Time-varying Dirichlet Process Mixtures. UAI 2007: 33-40
40		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)
39		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)
38		Simon I. Hill, Arnaud Doucet: A Framework for Kernel-Based Multi-Category Classification. J. Artif. Intell. Res. (JAIR) 30: 525-564 (2007)
	2006
37		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
36		Abhijeet Ghosh, Arnaud Doucet, Wolfgang Heidrich: Sequential Sampling for Dynamic Environment Map Illumination. Rendering Techniques 2006: 115-126
	2005
35		Simon I. Hill, Arnaud Doucet: Adapting two-class support vector classification methods to many class problems. ICML 2005: 313-320
34		Mike Klaas, Nando de Freitas, Arnaud Doucet: Toward Practical N2 Monte Carlo: the Marginal Particle Filter. UAI 2005: 308-315
	2004
33		Hassan Ali, Arnaud Doucet, Yingbo Hua: Blind SOS subspace channel estimation and equalization techniques exploiting spatial diversity in OFDM systems. Digital Signal Processing 14(2): 171-202 (2004)
32		Petar M. Djuric, Simon J. Godsill, Arnaud Doucet: Editorial. EURASIP J. Adv. Sig. Proc. 2004(15): 2239-2241 (2004)
31		Elena Punskaya, Arnaud Doucet, William J. Fitzgerald: Particle Filtering for Joint Symbol and Code Delay Estimation in DS Spread Spectrum Systems in Multipath Environment. EURASIP J. Adv. Sig. Proc. 2004(15): 2306-2314 (2004)
	2003
30		Jaco Vermaak, Arnaud Doucet, Patrick Pérez: Maintaining Multi-Modality through Mixture Tracking. ICCV 2003: 1110-1116
29		Jaco Vermaak, Simon J. Godsill, Arnaud Doucet: Sequential Bayesian Kernel Regression. NIPS 2003
28		Bin Dong, Xiaodong Wang, Arnaud Doucet: A new class of soft MIMO demodulation algorithms. IEEE Transactions on Signal Processing 51(11): 2752-2763 (2003)
27		Christophe Andrieu, Manuel Davy, Arnaud Doucet: Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions. IEEE Transactions on Signal Processing 51(7): 1762-1770 (2003)
26		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
25		Sumetpal Singh, Vladislav B. Tadic, Arnaud Doucet: A policy gradient method for SMDPs with application to call admission control. ICARCV 2002: 1268-1274
24		Shien-Shin Tham, Arnaud Doucet, Kotagiri Ramamohanarao: Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo. ICML 2002: 634-641
23		William Fong, Simon J. Godsill, Arnaud Doucet, Mike West: Monte Carlo smoothing with application to audio signal enhancement. IEEE Transactions on Signal Processing 50(2): 438-449 (2002)
22		Dan Crisan, Arnaud Doucet: A survey of convergence results on particle filtering methods for practitioners. IEEE Transactions on Signal Processing 50(3): 736-746 (2002)
21		Elena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald: Bayesian curve fitting using MCMC with applications to signal segmentation. IEEE Transactions on Signal Processing 50(3): 747-758 (2002)
20		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)
19		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
18		Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Rao-Blackwellised Particle Filtering via Data Augmentation. NIPS 2001: 561-567
17		Elena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald: Particle filtering for demodulation in fading channels with non-Gaussian additive noise. IEEE Transactions on Communications 49(4): 579-582 (2001)
16		Christophe Andrieu, Eric Barat, Arnaud Doucet: Bayesian deconvolution of noisy filtered point processes. IEEE Transactions on Signal Processing 49(1): 134-146 (2001)
15		Arnaud Doucet, Neil J. Gordon, Vikram Krishnamurthy: Particle filters for state estimation of jump Markov linear systems. IEEE Transactions on Signal Processing 49(3): 613-624 (2001)
14		Arnaud Doucet, Christophe Andrieu: Iterative algorithms for state estimation of jump Markov linear systems. IEEE Transactions on Signal Processing 49(6): 1216-1227 (2001)
13		Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Robust Full Bayesian Learning for Radial Basis Networks. Neural Computation 13(10): 2359-2407 (2001)
12		Christophe Andrieu, Petar M. Djuric, Arnaud Doucet: Model selection by MCMC computation. Signal Processing 81(1): 19-37 (2001)
	2000
11		Jaco Vermaak, Christophe Andrieu, Arnaud Doucet: Particle filtering for non-stationary speech modelling and enhancement. INTERSPEECH 2000: 594-597
10		Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan: The Unscented Particle Filter. NIPS 2000: 584-590
9		Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Reversible Jump MCMC Simulated Annealing for Neural Networks. UAI 2000: 11-18
8		Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. UAI 2000: 176-183
7		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)
6		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
5		Christophe Andrieu, João F. G. de Freitas, Arnaud Doucet: Robust Full Bayesian Methods for Neural Networks. NIPS 1999: 379-385
4		Olivier Cappé, Arnaud Doucet, Marc Lavielle, Eric Moulines: Simulation-based methods for blind maximum-likelihood filter identification. Signal Processing 73(1-2): 3-25 (1999)
3		Christophe Andrieu, Arnaud Doucet: A Bayesian approach to harmonic retrieval with clipped data. Signal Processing 74(3): 239-252 (1999)
	1998
2		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
	1997
1		Arnaud Doucet, Patrick Duvaut: Bayesian estimation of state-space models applied to deconvolution of Bernoulli - Gaussian processes. Signal Processing 57(2): 147-161 (1997)

Coauthor Index

1	Hassan Ali	[33]
2	Christophe Andrieu	[3] [5] [7] [9] [11] [12] [13] [14] [16] [17] [18] [20] [21] [26] [27]
3	Shahzia Anjum	[50]
4	Eric Barat	[16]
5	Shovan Bhaumik	[48]
6	Mark Briers	[37]
7	Eric Brochu	[51]
8	Olivier Cappé	[4]
9	Francois Caron	[41] [45] [47] [53] [59] [62] [63]
10	José A. Castellanos	[42] [51]
11	Dan Crisan	[22]
12	Manuel Davy	[27] [41] [44] [45]
13	Petar M. Djuric	[12] [32]
14	Bin Dong	[28]
15	Emmanuel Duflos	[45]
16	Patrick Duvaut	[1]
17	Robin J. Evans	[40]
18	William J. Fitzgerald	[17] [21] [31]
19	William Fong	[23]
20	João F. G. de Freitas	[2] [5] [6]
21	Nando de Freitas	[8] [9] [10] [13] [18] [26] [34] [37] [42] [43] [49] [51] [52] [54]
22	Andrew H. Gee	[2] [6]
23	Abhijeet Ghosh	[36]
24	T. K. Ghoshal	[48]
25	Audrey Giremus	[56]
26	Simon J. Godsill	[19] [20] [23] [29] [32]
27	Neil J. Gordon	[15]
28	Raphael Gottardo	[62] [63]
29	Wolfgang Heidrich	[36]
30	Simon I. Hill	[35] [38]
31	Matthew D. Hoffman	[43] [49] [54]
32	Matthias Hoffman	[52]
33	Christopher C. Holmes	[46] [50]
34	Yingbo Hua	[33]
35	Ajay Jasra	[43] [46]
36	Seokhwan Jo	[60]
37	Adam M. Johansen	[44] [58]
38	Michael I. Jordan	[26]
39	Nikolaos Kantas	[40]
40	Mike Klaas	[34] [37]
41	Vikram Krishnamurthy	[15]
42	Hendrik Kück	[52] [54]
43	Dustin Lang	[37]
44	Marc Lavielle	[4]
45	Alan Marrs	[55]
46	Ruben Martinez-Cantin	[42] [51]
47	Simon Maskell	[37] [55]
48	Rudolph van der Merwe	[10]
49	Pierre Minvielle	[55]
50	Pierre Del Moral	[59]
51	Eric Moulines	[4]
52	Kevin P. Murphy	[8]
53	Ido Nevat	[57]
54	Mahesan Niranjan	[2] [6]
55	Michele Pace	[59]
56	Patrick Pérez	[30]
57	Gareth W. Peters	[57]
58	Jan Peters	[49]
59	Elena Punskaya	[17] [21] [31]
60	Kotagiri Ramamohanarao (Rao Kotagiri)	[24]
61	Christian P. Robert	[19]
62	Stuart J. Russell	[8]
63	Smita Sadhu	[48]
64	Sumeetpal S. Singh	[39] [40]
65	Sumetpal Singh	[25]
66	David A. Stephens	[46]
67	Vladislav B. Tadic	[25] [39] [58] [61]
68	Shien-Shin Tham	[24]
69	Jean-Yves Tourneret	[56]
70	Philippe Vanheeghe	[45]
71	Jaco Vermaak	[11] [20] [29] [30]
72	Ba-Ngu Vo	[40]
73	Eric A. Wan	[10]
74	Xiaodong Wang	[28]
75	Mike West	[23]
76	Chang Dong Yoo (Chang D. Yoo)	[60]
77	Jinhong Yuan	[57]

Colors in the list of coauthors

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