Arnaud Doucet

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Christophe AndrieuProfessor of Statistics, University of BristolPatvirtintas el. paštas bristol.ac.uk
Nando de FreitasCIFAR & DeepMindPatvirtintas el. paštas google.com
Sumeetpal Sidhu SinghTibra Foundation Chair in Mathematical Sciences, School of Mathematics, University of WollongongPatvirtintas el. paštas uow.edu.au
Pierre Del MoralResearch Director, INRIA Bordeaux - Sud OuestPatvirtintas el. paštas inria.fr
Adam M. JohansenUniversity of WarwickPatvirtintas el. paštas warwick.ac.uk
George DeligiannidisProfessor of Statistics, University of OxfordPatvirtintas el. paštas stats.ox.ac.uk
Simon GodsillUniversity of CambridgePatvirtintas el. paštas eng.cam.ac.uk
Neil GordonDefence Science and Technology GroupPatvirtintas el. paštas ieee.org
Ajay JasraProfessor of Data Science, The Chinese University of Hong Kong, ShenzhenPatvirtintas el. paštas cuhk.edu.cn
Valentin De BortoliGoogle DeepMind, LondonPatvirtintas el. paštas google.com
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindPatvirtintas el. paštas stats.ox.ac.uk
Ba-Ngu VoCurtin UniversityPatvirtintas el. paštas curtin.edu.au
Chris HolmesPatvirtintas el. paštas stats.ox.ac.uk
François CaronUniversity of OxfordPatvirtintas el. paštas stats.ox.ac.uk
Soufiane HayouSimons Institute for the Theory of Computing, UC Berkeley | PhD @ University of OxfordPatvirtintas el. paštas berkeley.edu
Emilien DupontResearch Scientist, DeepMindPatvirtintas el. paštas stats.ox.ac.uk
Kevin MurphyResearch Scientist, GooglePatvirtintas el. paštas google.com
Mike WestDuke UniversityPatvirtintas el. paštas nc.rr.com
James ThorntonApple | University of OxfordPatvirtintas el. paštas apple.com
Anthony LeeSchool of Mathematics, University of BristolPatvirtintas el. paštas bristol.ac.uk

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Arnaud Doucet

Google DeepMind

Patvirtintas el. paštas google.com - Pagrindinis puslapis

Computational Statistics Machine Learning Monte Carlo methods


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Sequential Monte Carlo Methods in Practice A Doucet, N De Freitas, N Gordon Sequential monte carlo methods in practice, 2001	10657	2001
On sequential Monte Carlo sampling methods for Bayesian filtering A Doucet, S Godsill, C Andrieu Statistics and computing 10, 197-208, 2000	6644	2000
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003	3688	2003
A tutorial on particle filtering and smoothing: Fifteen years later A Doucet, AM Johansen Oxford Handbook of Nonlinear Filtering 12 (656-704), 3, 2011	2827	2011
Particle Markov chain Monte Carlo methods C Andrieu, A Doucet, R Holenstein Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2010	2700	2010
The unscented particle filter R Van Der Merwe, A Doucet, N De Freitas, EA Wan Advances in Neural Information Processing Systems, 2000	2651	2000
Sequential Monte Carlo samplers P Del Moral, A Doucet, A Jasra Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2006	2223	2006
Rao-Blackwellised particle filtering for dynamic Bayesian networks A Doucet, N De Freitas, K Murphy, S Russell UAI 2000, 2000	2117*	2000
An introduction to sequential Monte Carlo methods A Doucet, N De Freitas, N Gordon Sequential Monte Carlo methods in practice, 3-14, 2001	1721	2001
Sequential Monte Carlo methods for multitarget filtering with random finite sets BN Vo, S Singh, A Doucet IEEE Transactions on Aerospace and electronic systems 41 (4), 1224-1245, 2005	1669	2005
A survey of convergence results on particle filtering methods for practitioners D Crisan, A Doucet IEEE Transactions on signal processing 50 (3), 736-746, 2002	1368	2002
Particle filters for state estimation of jump Markov linear systems A Doucet, NJ Gordon, V Krishnamurthy IEEE Transactions on signal processing 49 (3), 613-624, 2001	1140	2001
On sequential simulation-based methods for Bayesian filtering A Doucet Technical Report CUED/F-INFENG/TR.310 Cambridge University, 1998	1064	1998
Fast computation of Wasserstein barycenters M Cuturi, A Doucet Proceedings of the 31st International Conference on Machine Learning, 685-693, 2014	878	2014
Monte Carlo smoothing for nonlinear time series SJ Godsill, A Doucet, M West Journal of the american statistical association, 2004	748	2004
Augmented neural ODEs E Dupont, A Doucet, Y Teh Advances in Neural Information Processing Systems 32 (NIPS 2019) 32 (2019), 2019	736	2019
An adaptive sequential Monte Carlo method for approximate Bayesian computation P Del Moral, A Doucet, A Jasra Statistics and computing 22, 1009-1020, 2012	627	2012
On particle methods for parameter estimation in state-space models N Kantas, A Doucet, SS Singh, JM Maciejowski, N Chopin Statistical Science 30 (3), 328--351, 2015	569	2015
Maintaining multi-modality through mixture tracking J Vermaak, A Doucet, P Patrick International Conference on Computer Vision, 1110, 2003	562	2003
Sequential Monte Carlo implementation of the PHD filter for multi-target tracking BN Vo, S Singh, A Doucet Proc. Int’l Conf. on Information Fusion, 792-799, 2003	468	2003

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