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 | 2013 | |
|---|---|---|
| j42 |      | Arnaud Doucet, Christian P. Robert: Introduction to Special Issue on Monte Carlo Methods in Statistics. ACM Trans. Model. Comput. Simul. 23(1): 1 (2013) |
| i6 | | Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Reversible Jump MCMC Simulated Annealing for Neural Networks. CoRR abs/1301.3833 (2013) |
| i5 | | Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. CoRR abs/1301.3853 (2013) |
| 2012 | ||
| j41 | | 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) |
| j40 | | 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) |
| j39 | | Pierre Del Moral, Arnaud Doucet, Ajay Jasra: An adaptive sequential Monte Carlo method for approximate Bayesian computation. Statistics and Computing 22(5): 1009-1020 (2012) |
| j38 | | Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet: Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks. IEEE Transactions on Signal Processing 60(10): 5038-5047 (2012) |
| i4 | | Matthias Hoffman, Hendrik Kück, Nando de Freitas, Arnaud Doucet: New inference strategies for solving Markov Decision Processes using reversible jump MCMC. CoRR abs/1205.2643 (2012) |
| i3 | | Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet: Distributed Maximum Likelihood for Simultaneous Self-localization and Tracking in Sensor Networks. CoRR abs/1206.4221 (2012) |
| i2 | | Mike Klaas, Nando de Freitas, Arnaud Doucet: Toward Practical N2 Monte Carlo: the Marginal Particle Filter. CoRR abs/1207.1396 (2012) |
| 2011 | ||
| j37 | | Seokhwan Jo, Chang D. Yoo, Arnaud Doucet: Melody Tracking Based on Sequential Bayesian Model. J. Sel. Topics Signal Processing 5(6): 1216-1227 (2011) |
| j36 | | 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) |
| c25 | | Vladislav B. Tadic, Arnaud Doucet: Asymptotic bias of stochastic gradient search. CDC-ECE 2011: 722-727 |
| 2010 | ||
| j35 | | 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) |
| j34 | | 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) |
| j33 | | 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) |
| i1 | | Ido Nevat, Gareth W. Peters, Arnaud Doucet, Jinhong Yuan: Channel Tracking for Relay Networks via Adaptive Particle MCMC. CoRR abs/1006.3151 (2010) |
| 2009 | ||
| j32 | | 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) |
| j31 | | 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) |
| j30 | | 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) |
| j29 | | Smita Sadhu, Shovan Bhaumik, Arnaud Doucet, T. K. Ghoshal: Particle-method-based formulation of risk-sensitive filter. Signal Processing 89(3): 314-319 (2009) |
| c24 | | Hendrik Kück, Matthew D. Hoffman, Arnaud Doucet, Nando de Freitas: Inference and Learning for Active Sensing, Experimental Design and Control. IbPRIA 2009: 1-10 |
| c23 | | Francois Caron, Arnaud Doucet: Bayesian Nonparametric Models on Decomposable Graphs. NIPS 2009: 225-233 |
| c22 | | 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 |
| 2008 | ||
| j28 | | 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) |
| j27 | | 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) |
| j26 | | 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) |
| c21 | | |
| 2007 | ||
| j25 | | 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) |
| j24 | | 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) |
| j23 | | Simon I. Hill, Arnaud Doucet: A Framework for Kernel-Based Multi-Category Classification. J. Artif. Intell. Res. (JAIR) 30: 525-564 (2007) |
| c20 | | Matthew D. Hoffman, Arnaud Doucet, Nando de Freitas, Ajay Jasra: Bayesian Policy Learning with Trans-Dimensional MCMC. NIPS 2007 |
| c19 | | 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 |
| c18 | | Francois Caron, Manuel Davy, Arnaud Doucet: Generalized Polya Urn for Time-varying Dirichlet Process Mixtures. UAI 2007: 33-40 |
| 2006 | ||
| c17 | | 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 |
| c16 | | Abhijeet Ghosh, Arnaud Doucet, Wolfgang Heidrich: Sequential Sampling for Dynamic Environment Map Illumination. Rendering Techniques 2006: 115-126 |
| 2005 | ||
| c15 | | Simon I. Hill, Arnaud Doucet: Adapting two-class support vector classification methods to many class problems. ICML 2005: 313-320 |
| c14 | | Zaifei Liu, Arnaud Doucet: Joint Bayesian model selection and blind equalization of ISI channels. ISSPA 2005: 479-482 |
| c13 | | Mike Klaas, Nando de Freitas, Arnaud Doucet: Toward Practical N2 Monte Carlo: the Marginal Particle Filter. UAI 2005: 308-315 |
| 2004 | ||
| j22 | | 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) |
| j21 | | Petar M. Djuric, Simon J. Godsill, Arnaud Doucet: Editorial. EURASIP J. Adv. Sig. Proc. 2004(15): 2239-2241 (2004) |
| j20 | | 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 | ||
| j19 | | 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) |
| j18 | | 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) |
| j17 | | Bin Dong, Xiaodong Wang, Arnaud Doucet: A new class of soft MIMO demodulation algorithms. IEEE Transactions on Signal Processing 51(11): 2752-2763 (2003) |
| c12 | | Jaco Vermaak, Arnaud Doucet, Patrick Pérez: Maintaining Multi-Modality through Mixture Tracking. ICCV 2003: 1110-1116 |
| c11 | | |
| 2002 | ||
| j16 | | 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) |
| j15 | | 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) |
| j14 | | 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) |
| j13 | | 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) |
| j12 | | 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) |
| c10 | | Sumetpal Singh, Vladislav B. Tadic, Arnaud Doucet: A policy gradient method for SMDPs with application to call admission control. ICARCV 2002: 1268-1274 |
| c9 | | Christophe Andrieu, Manuel Davy, Arnaud Doucet: Efficient particle filtering for Jump Markov Systems. ICASSP 2002: 1625-1628 |
| c8 |  | Shien-Shin Tham, Arnaud Doucet, Kotagiri Ramamohanarao: Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo. ICML 2002: 634-641 |
| 2001 | ||
| j11 | | Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Robust Full Bayesian Learning for Radial Basis Networks. Neural Computation 13(10): 2359-2407 (2001) |
| j10 | | Christophe Andrieu, Petar M. Djuric, Arnaud Doucet: Model selection by MCMC computation. Signal Processing 81(1): 19-37 (2001) |
| j9 | | 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) |
| j8 | | Christophe Andrieu, Eric Barat, Arnaud Doucet: Bayesian deconvolution of noisy filtered point processes. IEEE Transactions on Signal Processing 49(1): 134-146 (2001) |
| j7 | | 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) |
| j6 | | Arnaud Doucet, Christophe Andrieu: Iterative algorithms for state estimation of jump Markov linear systems. IEEE Transactions on Signal Processing 49(6): 1216-1227 (2001) |
| c7 | | Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Rao-Blackwellised Particle Filtering via Data Augmentation. NIPS 2001: 561-567 |
| 2000 | ||
| j5 | | 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) |
| j4 | | 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) |
| c6 | | Jaco Vermaak, Christophe Andrieu, Arnaud Doucet: Particle filtering for non-stationary speech modelling and enhancement. INTERSPEECH 2000: 594-597 |
| c5 | | Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan: The Unscented Particle Filter. NIPS 2000: 584-590 |
| c4 | | Christophe Andrieu, Nando de Freitas, Arnaud Doucet: Reversible Jump MCMC Simulated Annealing for Neural Networks. UAI 2000: 11-18 |
| c3 | | Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. UAI 2000: 176-183 |
| 1999 | ||
| j3 | | 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) |
| j2 | | Christophe Andrieu, Arnaud Doucet: A Bayesian approach to harmonic retrieval with clipped data. Signal Processing 74(3): 239-252 (1999) |
| c2 | | Christophe Andrieu, João F. G. de Freitas, Arnaud Doucet: Robust Full Bayesian Methods for Neural Networks. NIPS 1999: 379-385 |
| 1998 | ||
| c1 | | 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 | ||
| j1 | | Arnaud Doucet, Patrick Duvaut: Bayesian estimation of state-space models applied to deconvolution of Bernoulli - Gaussian processes. Signal Processing 57(2): 147-161 (1997) |
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