Christophe Andrieu

According to our database, Christophe Andrieu authored at least 61 papers between 1996 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC.

Christophe Andrieu, Anthony Lee, Sam Power, Andi Q. Wang

CoRR, 2021

2015

Introduction to "Particle Metropolis-Hastings using gradient and Hessian information" by J. Dahlin, F. Lindsten, T. Schön.

Christophe Andrieu

Stat. Comput., 2015

Quantitative Convergence Rates for Subgeometric Markov Chains.

Christophe Andrieu, Gersende Fort, Matti Vihola

J. Appl. Probab., 2015

2014

Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm.

Marcelo Pereyra, Nick Whiteley, Christophe Andrieu, Jean-Yves Tourneret

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Kernel Adaptive Metropolis-Hastings.

Dino Sejdinovic, Heiko Strathmann, Maria Lomeli Garcia, Christophe Andrieu, Arthur Gretton

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Online Bayesian Inference in Some Time-Frequency Representations of Non-Stationary Processes.

Richard Geoffrey Everitt, Christophe Andrieu, Manuel Davy

IEEE Trans. Signal Process., 2013

2010

On Coherent versus Non-Coherent Spectrum Sensing in OFDM Systems.

Andreas Müller, Robert J. Piechocki, Justin P. Coon, Christophe Andrieu

Proceedings of the 72nd IEEE Vehicular Technology Conference, 2010

Bayesian sequential compressed sensing in sparse dynamical systems.

Dino Sejdinovic, Christophe Andrieu, Robert J. Piechocki

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2008

Tree-Based Reparameterization with Distributional Approximations for Reduced-Complexity MIMO Symbol Detection.

Cheran M. Vithanage, Josep Soler Garrido, Christophe Andrieu, Robert J. Piechocki

IEEE Trans. Wirel. Commun., 2008

Depth-First and Breadth-First Search Based Multilevel SGA Algorithms for Near Optimal Symbol Detection in MIMO Systems.

Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell

IEEE Trans. Wirel. Commun., 2008

A tutorial on adaptive MCMC.

Christophe Andrieu, Johannes Thoms

Stat. Comput., 2008

2007

Gaussian Approximation Based Mixture Reduction for Joint Channel Estimation and Detection in MIMO Systems.

Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell

IEEE Trans. Wirel. Commun., 2007

Novel Reduced-State BCJR Algorithms.

Cheran M. Vithanage, Christophe Andrieu, Robert J. Piechocki

IEEE Trans. Commun., 2007

2006

Approximate inference in hidden Markov models using iterative active state selection.

Cheran M. Vithanage, Christophe Andrieu, Robert J. Piechocki

IEEE Signal Process. Lett., 2006

Performance of the EP-MBCJR algorithm in time dispersive MIMO office environments.

Cheran M. Vithanage, Christophe Andrieu, Robert J. Piechocki, Justin P. Coon

Proceedings of the 63rd IEEE Vehicular Technology Conference, 2006

SGA based symbol detection and EM channel estimation for MIMO systems.

Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell

Proceedings of the 63rd IEEE Vehicular Technology Conference, 2006

On the efficiency of adaptive MCMC algorithms.

Christophe Andrieu, Yves F. Atchadé

Proceedings of the 1st International Conference on Performance Evaluation Methodolgies and Tools, 2006

PDA-BCJR algorithm for Factorial Hidden Markov Models with application to MIMO equalisation.

Robert J. Piechocki, Christophe Andrieu, Magnus Sandell, Joe McGeehan

Proceedings of the 14th European Signal Processing Conference, 2006

2005

Stability of Stochastic Approximation under Verifiable Conditions.

Christophe Andrieu, Eric Moulines, Pierre Priouret

SIAM J. Control. Optim., 2005

Gaussian approximation based mixture reduction for near optimum detection in MIMO systems.

Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell

IEEE Commun. Lett., 2005

On-Line Parameter Estimation in General State-Space Models.

Christophe Andrieu, Arnaud Doucet, Vladislav Z. B. Tadic

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004

Particle methods for change detection, system identification, and control.

Christophe Andrieu, Arnaud Doucet, Sumeetpal S. Singh, Vladislav Z. B. Tadic

Proc. IEEE, 2004

Joint space-time trellis code detection and MIMO equalisation via particle filtering.

Robert J. Piechocki, Christophe Andrieu, Cheran M. Vithanage, Joseph P. McGeehan

Proceedings of the 1st IEEE International Symposium on Wireless Communication Systems, 2004

2003

Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions.

Christophe Andrieu, Manuel Davy, Arnaud Doucet

IEEE Trans. Signal Process., 2003

An Introduction to MCMC for Machine Learning.

Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan

Mach. Learn., 2003

Joint blind and semi-blind detection and channel estimation for space-time trellis coded systems.

Robert J. Piechocki, Christophe Andrieu, Andrew R. Nix, Joseph P. McGeehan

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Online expectation-maximization type algorithms for parameter estimation in general state space models.

Christophe Andrieu, Arnaud Doucet

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Monte Carlo Methods for Absolute Beginners.

Christophe Andrieu

Proceedings of the Advanced Lectures on Machine Learning, 2003

2002

Bayesian curve fitting using MCMC with applications to signal segmentation.

Elena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald

IEEE Trans. Signal Process., 2002

Particle methods for Bayesian modeling and enhancement of speech signals.

Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, Simon J. Godsill

IEEE Trans. Speech Audio Process., 2002

Bayesian deconvolution in nuclear spectroscopy using RJMCMC.

Sirajudeen Gulam Razul, William J. Fitzgerald, Christophe Andrieu

Proceedings of the IEEE International Conference on Acoustics, 2002

Efficient particle filtering for Jump Markov Systems.

Christophe Andrieu, Manuel Davy, Arnaud Doucet

Proceedings of the IEEE International Conference on Acoustics, 2002

A particle filtering technique for Jump Markov Systems.

Christophe Andrieu, Manuel Davy, Arnaud Doucet

Proceedings of the 11th European Signal Processing Conference, 2002

2001

Iterative algorithms for state estimation of jump Markov linear systems.

Arnaud Doucet, Christophe Andrieu

IEEE Trans. Signal Process., 2001

Bayesian deconvolution of noisy filtered point processes.

Christophe Andrieu, Eric Barat, Arnaud Doucet

IEEE Trans. Signal Process., 2001

Particle filtering for demodulation in fading channels with non-Gaussian additive noise.

Elena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald

IEEE Trans. Commun., 2001

Model selection by MCMC computation.

Christophe Andrieu, Petar M. Djuric, Arnaud Doucet

Signal Process., 2001

Robust Full Bayesian Learning for Radial Basis Networks.

Christophe Andrieu, Nando de Freitas, Arnaud Doucet

Neural Comput., 2001

Optimal Estimation of Amplitude and Phase Modulated Signals.

Christophe Andrieu, Arnaud Doucet

Monte Carlo Methods Appl., 2001

Rao-Blackwellised Particle Filtering via Data Augmentation.

Christophe Andrieu, Nando de Freitas, Arnaud Doucet

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Sequential Monte Carlo Methods for Neural Networks.

Nando de Freitas, Christophe Andrieu, Pedro A. d. F. R. Højen-Sørensen, M. Niranjan, A. Gee

Proceedings of the Sequential Monte Carlo Methods in Practice, 2001

Sequential Monte Carlo Methods for Optimal Filtering.

Christophe Andrieu, Arnaud Doucet, Elena Punskaya

Proceedings of the Sequential Monte Carlo Methods in Practice, 2001

2000

Simulated annealing for maximum a Posteriori parameter estimation of hidden Markov models.

Christophe Andrieu, Arnaud Doucet

IEEE Trans. Inf. Theory, 2000

On sequential Monte Carlo sampling methods for Bayesian filtering.

Arnaud Doucet, Simon J. Godsill, Christophe Andrieu

Stat. Comput., 2000

Reversible Jump MCMC Simulated Annealing for Neural Networks.

Christophe Andrieu, Nando de Freitas, Arnaud Doucet

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Particle filtering for non-stationary speech modelling and enhancement.

Jaco Vermaak, Christophe Andrieu, Arnaud Doucet

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Particle filters for demodulation of M-ary modulated signals in noisy fading communication channels.

Elena Punskaya, Christophe Andrieu, Arnaud Doucet, William J. Fitzgerald

Proceedings of the IEEE International Conference on Acoustics, 2000

Sequential Monte Carlo for model selection and estimation of neural networks.

Christophe Andrieu, Nando de Freitas

Proceedings of the IEEE International Conference on Acoustics, 2000

Optimal estimation of non-stationary phase and amplitude processes.

Christophe Andrieu

Proceedings of the IEEE International Conference on Acoustics, 2000

On-line non-stationary ICA using mixture models.

A. Ahmed, Christophe Andrieu, Arnaud Doucet, Peter J. W. Rayner

Proceedings of the IEEE International Conference on Acoustics, 2000

1999

Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC.

Christophe Andrieu, Arnaud Doucet

IEEE Trans. Signal Process., 1999

An improved method for uniform simulation of stable minimum phase real ARMA (p, q) processes.

Christophe Andrieu, Arnaud Doucet

IEEE Signal Process. Lett., 1999

A Bayesian approach to harmonic retrieval with clipped data.

Christophe Andrieu, Arnaud Doucet

Signal Process., 1999

Robust Full Bayesian Methods for Neural Networks.

Christophe Andrieu, João F. G. de Freitas, Arnaud Doucet

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Bayesian separation and recovery of convolutively mixed autoregressive sources.

Simon J. Godsill, Christophe Andrieu

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Iterative algorithms for optimal state estimation of jump Markov linear systems.

Arnaud Doucet, Christophe Andrieu

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998

Joint Bayesian detection and estimation of sinusoids embedded in noise.

Christophe Andrieu, Arnaud Doucet, Patrick Duvaut

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Robust Bayesian spectral analysis via MCMC sampling.

Arnaud Doucet, Christophe Andrieu

Proceedings of the 9th European Signal Processing Conference, 1998

Efficient stochastic maximum a posteriori estimation for harmonic signals.

Christophe Andrieu, Arnaud Doucet

Proceedings of the 9th European Signal Processing Conference, 1998

1997

Bayesian estimation and detection of shot noise processes using reversible jumps.

Christophe Andrieu, Patrick Duvaut

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996

Bayesian deconvolution of cyclostationary processes based on point processes.

Christophe Andrieu, Patrick Duvaut, Arnaud Doucet

Proceedings of the 8th European Signal Processing Conference, 1996