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ORCIDChristophe Andrieu
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2020 – today
- 2021
[i3]Christophe Andrieu, Anthony Lee, Sam Power, Andi Q. Wang:
Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC. CoRR abs/2112.05605 (2021)
2010 – 2019
- 2015
- [j27]Christophe Andrieu, Gersende Fort, Matti Vihola:
Quantitative Convergence Rates for Subgeometric Markov Chains. J. Appl. Probab. 52(2): 391-404 (2015) - [j26]Christophe Andrieu:
Introduction to "Particle Metropolis-Hastings using gradient and Hessian information" by J. Dahlin, F. Lindsten, T. Schön. Stat. Comput. 25(1): 79 (2015) - 2014
- [c32]Dino Sejdinovic, Heiko Strathmann, Maria Lomeli Garcia, Christophe Andrieu, Arthur Gretton:
Kernel Adaptive Metropolis-Hastings. ICML 2014: 1665-1673 - [c31]Marcelo Pereyra, Nick Whiteley
, Christophe Andrieu, Jean-Yves Tourneret:
Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm. SSP 2014: 121-124 - 2013
- [j25]Richard Geoffrey Everitt, Christophe Andrieu, Manuel Davy:
Online Bayesian Inference in Some Time-Frequency Representations of Non-Stationary Processes. IEEE Trans. Signal Process. 61(22): 5755-5766 (2013) - [i2]Christophe Andrieu, Nando de Freitas, Arnaud Doucet:
Reversible Jump MCMC Simulated Annealing for Neural Networks. CoRR abs/1301.3833 (2013) - [i1]Dino Sejdinovic, Maria Lomeli Garcia, Heiko Strathmann, Christophe Andrieu, Arthur Gretton:
Kernel Adaptive Metropolis-Hastings. CoRR abs/1307.5302 (2013) - 2010
- [c30]Dino Sejdinovic, Christophe Andrieu, Robert J. Piechocki:
Bayesian sequential compressed sensing in sparse dynamical systems. Allerton 2010: 1730-1736 - [c29]Andreas Müller, Robert J. Piechocki, Justin P. Coon, Christophe Andrieu:
On Coherent versus Non-Coherent Spectrum Sensing in OFDM Systems. VTC Fall 2010: 1-5
2000 – 2009
- 2008
- [j24]Christophe Andrieu, Johannes Thoms:
A tutorial on adaptive MCMC. Stat. Comput. 18(4): 343-373 (2008) - [j23]Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell:
Depth-First and Breadth-First Search Based Multilevel SGA Algorithms for Near Optimal Symbol Detection in MIMO Systems. IEEE Trans. Wirel. Commun. 7(3): 1052-1061 (2008) - [j22]Cheran M. Vithanage, Josep Soler Garrido, Christophe Andrieu, Robert J. Piechocki:
Tree-Based Reparameterization with Distributional Approximations for Reduced-Complexity MIMO Symbol Detection. IEEE Trans. Wirel. Commun. 7(11-2): 4617-4626 (2008) - 2007
- [j21]Cheran M. Vithanage, Christophe Andrieu, Robert J. Piechocki:
Novel Reduced-State BCJR Algorithms. IEEE Trans. Commun. 55(6): 1144-1152 (2007) - [j20]Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell:
Gaussian Approximation Based Mixture Reduction for Joint Channel Estimation and Detection in MIMO Systems. IEEE Trans. Wirel. Commun. 6(7): 2384-2389 (2007) - 2006
- [j19]Cheran M. Vithanage, Christophe Andrieu, Robert J. Piechocki:
Approximate inference in hidden Markov models using iterative active state selection. IEEE Signal Process. Lett. 13(2): 65-68 (2006) - [c28]Robert J. Piechocki, Christophe Andrieu, Magnus Sandell, Joe McGeehan:
PDA-BCJR algorithm for Factorial Hidden Markov Models with application to MIMO equalisation. EUSIPCO 2006: 1-5 - [c27]Christophe Andrieu, Yves F. Atchadé:
On the efficiency of adaptive MCMC algorithms. VALUETOOLS 2006: 43 - [c26]Cheran M. Vithanage, Christophe Andrieu, Robert J. Piechocki, Justin P. Coon:
Performance of the EP-MBCJR algorithm in time dispersive MIMO office environments. VTC Spring 2006: 1406-1410 - [c25]Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell:
SGA based symbol detection and EM channel estimation for MIMO systems. VTC Spring 2006: 1743-1747 - 2005
- [j18]Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell:
Gaussian approximation based mixture reduction for near optimum detection in MIMO systems. IEEE Commun. Lett. 9(11): 997-999 (2005) - [j17]Christophe Andrieu, Eric Moulines, Pierre Priouret:
Stability of Stochastic Approximation under Verifiable Conditions. SIAM J. Control. Optim. 44(1): 283-312 (2005) - [c24]Christophe Andrieu, Arnaud Doucet, Vladislav Z. B. Tadic:
On-Line Parameter Estimation in General State-Space Models. CDC/ECC 2005: 332-337 - [c23]Christophe Andrieu, Eric Moulines, Pierre Priouret:
Stability of Stochastic Approximation under Verifiable Conditions. CDC/ECC 2005: 6656-6661 - 2004
- [j16]Christophe Andrieu, Arnaud Doucet, Sumeetpal S. Singh, Vladislav Z. B. Tadic:
Particle methods for change detection, system identification, and control. Proc. IEEE 92(3): 423-438 (2004) - [c22]Robert J. Piechocki, Christophe Andrieu, Cheran M. Vithanage, Joseph P. McGeehan:
Joint space-time trellis code detection and MIMO equalisation via particle filtering. ISWCS 2004: 357-361 - 2003
- [j15]Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan:
An Introduction to MCMC for Machine Learning. Mach. Learn. 50(1-2): 5-43 (2003) - [j14]Christophe Andrieu, Manuel Davy, Arnaud Doucet:
Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions. IEEE Trans. Signal Process. 51(7): 1762-1770 (2003) - [c21]Christophe Andrieu:
Monte Carlo Methods for Absolute Beginners. Advanced Lectures on Machine Learning 2003: 113-145 - [c20]Christophe Andrieu, Arnaud Doucet:
Online expectation-maximization type algorithms for parameter estimation in general state space models. ICASSP (6) 2003: 69-72 - [c19]Robert J. Piechocki, Christophe Andrieu, Andrew R. Nix, Joseph P. McGeehan:
Joint blind and semi-blind detection and channel estimation for space-time trellis coded systems. ICASSP (4) 2003: 349-352 - 2002
- [j13]Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, Simon J. Godsill:
Particle methods for Bayesian modeling and enhancement of speech signals. IEEE Trans. Speech Audio Process. 10(3): 173-185 (2002) - [j12]Elena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald:
Bayesian curve fitting using MCMC with applications to signal segmentation. IEEE Trans. Signal Process. 50(3): 747-758 (2002) - [c18]Christophe Andrieu, Manuel Davy, Arnaud Doucet:
A particle filtering technique for Jump Markov Systems. EUSIPCO 2002: 1-4 - [c17]Sirajudeen Gulam Razul, William J. Fitzgerald, Christophe Andrieu:
Bayesian deconvolution in nuclear spectroscopy using RJMCMC. ICASSP 2002: 1309-1312 - [c16]Christophe Andrieu, Manuel Davy, Arnaud Doucet:
Efficient particle filtering for Jump Markov Systems. ICASSP 2002: 1625-1628 - 2001
- [j11]Christophe Andrieu, Arnaud Doucet:
Optimal Estimation of Amplitude and Phase Modulated Signals. Monte Carlo Methods Appl. 7(1-2): 1-14 (2001) - [j10]Christophe Andrieu, Nando de Freitas, Arnaud Doucet:
Robust Full Bayesian Learning for Radial Basis Networks. Neural Comput. 13(10): 2359-2407 (2001) - [j9]Christophe Andrieu, Petar M. Djuric, Arnaud Doucet:
Model selection by MCMC computation. Signal Process. 81(1): 19-37 (2001) - [j8]Elena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald:
Particle filtering for demodulation in fading channels with non-Gaussian additive noise. IEEE Trans. Commun. 49(4): 579-582 (2001) - [j7]Christophe Andrieu, Eric Barat, Arnaud Doucet:
Bayesian deconvolution of noisy filtered point processes. IEEE Trans. Signal Process. 49(1): 134-146 (2001) - [j6]Arnaud Doucet, Christophe Andrieu:
Iterative algorithms for state estimation of jump Markov linear systems. IEEE Trans. Signal Process. 49(6): 1216-1227 (2001) - [c15]Christophe Andrieu, Nando de Freitas, Arnaud Doucet:
Rao-Blackwellised Particle Filtering via Data Augmentation. NIPS 2001: 561-567 - [p2]Christophe Andrieu, Arnaud Doucet, Elena Punskaya:
Sequential Monte Carlo Methods for Optimal Filtering. Sequential Monte Carlo Methods in Practice 2001: 79-95 - [p1]Nando de Freitas, Christophe Andrieu, Pedro A. d. F. R. Højen-Sørensen, M. Niranjan, A. Gee:
Sequential Monte Carlo Methods for Neural Networks. Sequential Monte Carlo Methods in Practice 2001: 359-379 - 2000
- [j5]Arnaud Doucet, Simon J. Godsill, Christophe Andrieu:
On sequential Monte Carlo sampling methods for Bayesian filtering. Stat. Comput. 10(3): 197-208 (2000) - [j4]Christophe Andrieu, Arnaud Doucet:
Simulated annealing for maximum a Posteriori parameter estimation of hidden Markov models. IEEE Trans. Inf. Theory 46(3): 994-1004 (2000) - [c14]Christophe Andrieu:
Optimal estimation of non-stationary phase and amplitude processes. ICASSP 2000: 637-640 - [c13]Elena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald:
Particle filters for demodulation of M-ary modulated signals in noisy fading communication channels. ICASSP 2000: 2797-2800 - [c12]A. Ahmed, Christophe Andrieu, Arnaud Doucet, Peter J. W. Rayner:
On-line non-stationary ICA using mixture models. ICASSP 2000: 3148-3151 - [c11]Christophe Andrieu, Nando de Freitas:
Sequential Monte Carlo for model selection and estimation of neural networks. ICASSP 2000: 3410-3413 - [c10]Jaco Vermaak, Christophe Andrieu, Arnaud Doucet:
Particle filtering for non-stationary speech modelling and enhancement. INTERSPEECH 2000: 594-597 - [c9]Christophe Andrieu, Nando de Freitas, Arnaud Doucet:
Reversible Jump MCMC Simulated Annealing for Neural Networks. UAI 2000: 11-18
1990 – 1999
- 1999
- [j3]Christophe Andrieu, Arnaud Doucet:
A Bayesian approach to harmonic retrieval with clipped data. Signal Process. 74(3): 239-252 (1999) - [j2]Christophe Andrieu, Arnaud Doucet:
An improved method for uniform simulation of stable minimum phase real ARMA (p, q) processes. IEEE Signal Process. Lett. 6(6): 142-144 (1999) - [j1]Christophe Andrieu, Arnaud Doucet:
Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC. IEEE Trans. Signal Process. 47(10): 2667-2676 (1999) - [c8]Simon J. Godsill, Christophe Andrieu:
Bayesian separation and recovery of convolutively mixed autoregressive sources. ICASSP 1999: 1733-1736 - [c7]Arnaud Doucet, Christophe Andrieu:
Iterative algorithms for optimal state estimation of jump Markov linear systems. ICASSP 1999: 2487-2490 - [c6]Christophe Andrieu, João F. G. de Freitas, Arnaud Doucet:
Robust Full Bayesian Methods for Neural Networks. NIPS 1999: 379-385 - 1998
- [c5]Christophe Andrieu, Arnaud Doucet:
Efficient stochastic maximum a posteriori estimation for harmonic signals. EUSIPCO 1998: 1-4 - [c4]Arnaud Doucet, Christophe Andrieu:
Robust Bayesian spectral analysis via MCMC sampling. EUSIPCO 1998: 1-4 - [c3]Christophe Andrieu, Arnaud Doucet, Patrick Duvaut:
Joint Bayesian detection and estimation of sinusoids embedded in noise. ICASSP 1998: 2245-2248 - 1997
- [c2]Christophe Andrieu, Patrick Duvaut:
Bayesian estimation and detection of shot noise processes using reversible jumps. ICASSP 1997: 3681-3684 - 1996
- [c1]Christophe Andrieu, Patrick Duvaut, Arnaud Doucet:
Bayesian deconvolution of cyclostationary processes based on point processes. EUSIPCO 1996: 1-4
Coauthor Index
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