Christophe Andrieu

Publication Activity (10 Years)

Years Active: 1996-2021
Publications (10 Years): 1

Top Topics

Top Venues

J. Appl. Probab.

IEEE Trans. Signal Process.

Publications

Christophe Andrieu, Anthony Lee, Sam Power, Andi Q. Wang
Comparison of Markov chains via weak Poincaré inequalities with application to pseudo-marginal MCMC. CoRR (2021)
Christophe Andrieu
Introduction to "Particle Metropolis-Hastings using gradient and Hessian information" by J. Dahlin, F. Lindsten, T. Schön. Stat. Comput. 25 (1) (2015)
Christophe Andrieu, Gersende Fort, Matti Vihola
Quantitative Convergence Rates for Subgeometric Markov Chains. J. Appl. Probab. 52 (2) (2015)
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)
Dino Sejdinovic, Heiko Strathmann, Maria Lomeli Garcia, Christophe Andrieu, Arthur Gretton
Kernel Adaptive Metropolis-Hastings. ICML (2014)
Christophe Andrieu, Nando de Freitas, Arnaud Doucet
Reversible Jump MCMC Simulated Annealing for Neural Networks CoRR (2013)
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) (2013)
Dino Sejdinovic, Maria Lomeli Garcia, Heiko Strathmann, Christophe Andrieu, Arthur Gretton
Kernel Adaptive Metropolis-Hastings. CoRR (2013)
Andreas Müller, Robert J. Piechocki, Justin P. Coon, Christophe Andrieu
On Coherent versus Non-Coherent Spectrum Sensing in OFDM Systems. VTC Fall (2010)
Dino Sejdinovic, Christophe Andrieu, Robert J. Piechocki
Bayesian sequential compressed sensing in sparse dynamical systems. Allerton (2010)
Christophe Andrieu, Johannes Thoms
A tutorial on adaptive MCMC. Stat. Comput. 18 (4) (2008)
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) (2008)
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) (2008)
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) (2007)
Cheran M. Vithanage, Christophe Andrieu, Robert J. Piechocki
Novel Reduced-State BCJR Algorithms. IEEE Trans. Commun. 55 (6) (2007)
Robert J. Piechocki, Christophe Andrieu, Magnus Sandell, Joe McGeehan
PDA-BCJR algorithm for Factorial Hidden Markov Models with application to MIMO equalisation. EUSIPCO (2006)
Yugang Jia, Christophe Andrieu, Robert J. Piechocki, Magnus Sandell
SGA based symbol detection and EM channel estimation for MIMO systems. VTC Spring (2006)
Christophe Andrieu, Yves F. Atchadé
On the efficiency of adaptive MCMC algorithms. VALUETOOLS (2006)
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) (2006)
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)
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) (2005)
Christophe Andrieu, Eric Moulines, Pierre Priouret
Stability of Stochastic Approximation under Verifiable Conditions. CDC/ECC (2005)
Christophe Andrieu, Arnaud Doucet, Vladislav Z. B. Tadic
On-Line Parameter Estimation in General State-Space Models. CDC/ECC (2005)
Christophe Andrieu, Eric Moulines, Pierre Priouret
Stability of Stochastic Approximation under Verifiable Conditions. SIAM J. Control. Optim. 44 (1) (2005)
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)
Christophe Andrieu, Arnaud Doucet, Sumeetpal S. Singh, Vladislav Z. B. Tadic
Particle methods for change detection, system identification, and control. Proc. IEEE 92 (3) (2004)
Christophe Andrieu
Monte Carlo Methods for Absolute Beginners. Advanced Lectures on Machine Learning (2003)
Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan
An Introduction to MCMC for Machine Learning. Mach. Learn. 50 (1-2) (2003)
Christophe Andrieu, Arnaud Doucet
Online expectation-maximization type algorithms for parameter estimation in general state space models. ICASSP (6) (2003)
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)
Christophe Andrieu, Manuel Davy, Arnaud Doucet
Efficient particle filtering for jump Markov systems. Application to time-varying autoregressions. IEEE Trans. Signal Process. 51 (7) (2003)
Sirajudeen Gulam Razul, William J. Fitzgerald, Christophe Andrieu
Bayesian deconvolution in nuclear spectroscopy using RJMCMC. ICASSP (2002)
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) (2002)
Christophe Andrieu, Manuel Davy, Arnaud Doucet
A particle filtering technique for Jump Markov Systems. EUSIPCO (2002)
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) (2002)
Christophe Andrieu, Manuel Davy, Arnaud Doucet
Efficient particle filtering for Jump Markov Systems. ICASSP (2002)
Christophe Andrieu, Nando de Freitas, Arnaud Doucet
Robust Full Bayesian Learning for Radial Basis Networks. Neural Comput. 13 (10) (2001)
Arnaud Doucet, Christophe Andrieu
Iterative algorithms for state estimation of jump Markov linear systems. IEEE Trans. Signal Process. 49 (6) (2001)
Christophe Andrieu, Petar M. Djuric, Arnaud Doucet
Model selection by MCMC computation. Signal Process. 81 (1) (2001)
Christophe Andrieu, Eric Barat, Arnaud Doucet
Bayesian deconvolution of noisy filtered point processes. IEEE Trans. Signal Process. 49 (1) (2001)
Christophe Andrieu, Arnaud Doucet
Optimal Estimation of Amplitude and Phase Modulated Signals. Monte Carlo Methods Appl. 7 (1-2) (2001)
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) (2001)
Christophe Andrieu, Nando de Freitas, Arnaud Doucet
Rao-Blackwellised Particle Filtering via Data Augmentation. NIPS (2001)
Arnaud Doucet, Simon J. Godsill, Christophe Andrieu
On sequential Monte Carlo sampling methods for Bayesian filtering. Stat. Comput. 10 (3) (2000)
Christophe Andrieu, Nando de Freitas
Sequential Monte Carlo for model selection and estimation of neural networks. ICASSP (2000)
Christophe Andrieu, Nando de Freitas, Arnaud Doucet
Reversible Jump MCMC Simulated Annealing for Neural Networks. UAI (2000)
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)
A. Ahmed, Christophe Andrieu, Arnaud Doucet, Peter J. W. Rayner
On-line non-stationary ICA using mixture models. ICASSP (2000)
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet
Particle filtering for non-stationary speech modelling and enhancement. INTERSPEECH (2000)
Christophe Andrieu
Optimal estimation of non-stationary phase and amplitude processes. ICASSP (2000)
Christophe Andrieu, Arnaud Doucet
Simulated annealing for maximum a Posteriori parameter estimation of hidden Markov models. IEEE Trans. Inf. Theory 46 (3) (2000)
Arnaud Doucet, Christophe Andrieu
Iterative algorithms for optimal state estimation of jump Markov linear systems. ICASSP (1999)
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) (1999)
Christophe Andrieu, João F. G. de Freitas, Arnaud Doucet
Robust Full Bayesian Methods for Neural Networks. NIPS (1999)
Simon J. Godsill, Christophe Andrieu
Bayesian separation and recovery of convolutively mixed autoregressive sources. ICASSP (1999)
Christophe Andrieu, Arnaud Doucet
Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC. IEEE Trans. Signal Process. 47 (10) (1999)
Christophe Andrieu, Arnaud Doucet
A Bayesian approach to harmonic retrieval with clipped data. Signal Process. 74 (3) (1999)
Christophe Andrieu, Arnaud Doucet
Efficient stochastic maximum a posteriori estimation for harmonic signals. EUSIPCO (1998)
Christophe Andrieu, Arnaud Doucet, Patrick Duvaut
Joint Bayesian detection and estimation of sinusoids embedded in noise. ICASSP (1998)
Arnaud Doucet, Christophe Andrieu
Robust Bayesian spectral analysis via MCMC sampling. EUSIPCO (1998)
Christophe Andrieu, Patrick Duvaut
Bayesian estimation and detection of shot noise processes using reversible jumps. ICASSP (1997)
Christophe Andrieu, Patrick Duvaut, Arnaud Doucet
Bayesian deconvolution of cyclostationary processes based on point processes. EUSIPCO (1996)