Gersende Fort

According to our database, Gersende Fort authored at least 44 papers between 1998 and 2023.

Collaborative distances:

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

2023

Stochastic variable metric proximal gradient with variance reduction for non-convex composite optimization.

Gersende Fort, Eric Moulines

Stat. Comput., June, 2023

Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers.

Gersende Fort, Barbara Pascal, Patrice Abry, Nelly Pustelnik

IEEE Trans. Signal Process., 2023

Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning.

Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Hoi-To Wai

IEEE Trans. Signal Process., 2023

Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number.

Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik

Proceedings of the 31st European Signal Processing Conference, 2023

Pandemic Intensity Estimation from Stochastic Approximation-Based Algorithms.

Patrice Abry, Juliette Chevallier, Gersende Fort, Barbara Pascal

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling.

Hugo Artigas, Barbara Pascal, Gersende Fort, Patrice Abry, Nelly Pustelnik

Proceedings of the 30th European Signal Processing Conference, 2022

Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling.

Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Fast incremental expectation maximization for finite-sum optimization: nonasymptotic convergence.

Gersende Fort, P. Gach, Eric Moulines

Stat. Comput., 2021

Federated Expectation Maximization with heterogeneity mitigation and variance reduction.

Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Geneviève Robin

CoRR, 2021

The Perturbed Prox-Preconditioned Spider Algorithm for EM-Based Large Scale Learning.

Gersende Fort, Eric Moulines

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

The Perturbed Prox-Preconditioned Spider Algorithm: Non-Asymptotic Convergence Bounds.

Gersende Fort, Eric Moulines

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Federated-EM with heterogeneity mitigation and variance reduction.

Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Geneviève Robin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Geom-Spider-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization.

Gersende Fort, Eric Moulines, Hoi-To Wai

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Uncertainty Quantification for Stochastic Approximation Limits Using Chaos Expansion.

Stéphane Crépey, Gersende Fort, Emmanuel Gobet, Uladzislau Stazhynski

SIAM/ASA J. Uncertain. Quantification, 2020

A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm.

Gersende Fort, Eric Moulines, Hoi-To Wai

CoRR, 2020

A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm.

Gersende Fort, Eric Moulines, Hoi-To Wai

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Stochastic proximal-gradient algorithms for penalized mixed models.

Gersende Fort, Edouard Ollier, Adeline Samson

Stat. Comput., 2019

2018

Stochastic Fista Algorithms: So Fast ?

Gersende Fort, Laurent Risser, Yves F. Atchadé, Eric Moulines

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

Fixed Rank Kriging for Cellular Coverage Analysis.

Hajer Braham, Sana Ben Jemaa, Gersende Fort, Eric Moulines, Berna Sayraç

IEEE Trans. Veh. Technol., 2017

Success and Failure of Adaptation-Diffusion Algorithms With Decaying Step Size in Multiagent Networks.

Gemma Morral, Pascal Bianchi, Gersende Fort

IEEE Trans. Signal Process., 2017

Self-healing umbrella sampling: convergence and efficiency.

Gersende Fort, Benjamin Jourdain, Tony Lelièvre, Gabriel Stoltz

Stat. Comput., 2017

MCMC design-based non-parametric regression for rare event. Application to nested risk computations.

Gersende Fort, Emmanuel Gobet, Eric Moulines

Monte Carlo Methods Appl., 2017

On Perturbed Proximal Gradient Algorithms.

Yves F. Atchadé, Gersende Fort, Eric Moulines

J. Mach. Learn. Res., 2017

2016

Spatial Prediction Under Location Uncertainty in Cellular Networks.

Hajer Braham, Sana Ben Jemaa, Gersende Fort, Eric Moulines, Berna Sayraç

IEEE Trans. Wirel. Commun., 2016

Convergence of Markovian Stochastic Approximation with Discontinuous Dynamics.

Gersende Fort, Eric Moulines, Amandine Schreck, Matti Vihola

SIAM J. Control. Optim., 2016

A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection.

Amandine Schreck, Gersende Fort, Sylvain Le Corff, Eric Moulines

IEEE J. Sel. Top. Signal Process., 2016

2015

Convergence of the Wang-Landau algorithm.

Gersende Fort, Benjamin Jourdain, Estelle Kuhn, Tony Lelièvre, Gabriel Stoltz

Math. Comput., 2015

Quantitative Convergence Rates for Subgeometric Markov Chains.

Christophe Andrieu, Gersende Fort, Matti Vihola

J. Appl. Probab., 2015

2014

Low complexity spatial interpolation for cellular coverage analysis.

Hajer Braham, Sana Ben Jemaa, Berna Sayraç, Gersende Fort, Eric Moulines

Proceedings of the 12th International Symposium on Modeling and Optimization in Mobile, 2014

Coverage mapping using spatial interpolation with field measurements.

Hajer Braham, Sana Ben Jemaa, Berna Sayraç, Gersende Fort, Eric Moulines

Proceedings of the 25th IEEE Annual International Symposium on Personal, 2014

Success and failure of adaptation-diffusion algorithms for consensus in multi-agent networks.

Gemma Morral, Pascal Bianchi, Gersende Fort

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Adaptive Equi-Energy Sampler: Convergence and Illustration.

Amandine Schreck, Gersende Fort, Eric Moulines

ACM Trans. Model. Comput. Simul., 2013

Convergence of a Particle-Based Approximation of the Block Online Expectation Maximization Algorithm.

Sylvain Le Corff, Gersende Fort

ACM Trans. Model. Comput. Simul., 2013

Performance of a Distributed Stochastic Approximation Algorithm.

Pascal Bianchi, Gersende Fort, Walid Hachem

IEEE Trans. Inf. Theory, 2013

2012

Adaptive Metropolis with Online Relabeling.

Rémi Bardenet, Olivier Cappé, Gersende Fort, Balázs Kégl

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem.

Sylvain Le Corff, Gersende Fort, Eric Moulines

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Distributed stochastic approximation: The price of non-double stochasticity.

Gemma Morral, Pascal Bianchi, Gersende Fort, Jérémie Jakubowicz

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

On adaptive stratification.

Pierre Etoré, Gersende Fort, Benjamin Jourdain, Eric Moulines

Ann. Oper. Res., 2011

Convergence of a distributed parameter estimator for sensor networks with local averaging of the estimates.

Pascal Bianchi, Gersende Fort, Walid Hachem, Jérémie Jakubowicz

Proceedings of the IEEE International Conference on Acoustics, 2011

Performance analysis of a distributed Robbins-Monro algorithm for sensor networks.

Pascal Bianchi, Gersende Fort, Walid Hachem, Jérémie Jakubowicz

Proceedings of the 19th European Signal Processing Conference, 2011

2007

Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random Fields.

Florence Forbes, Gersende Fort

IEEE Trans. Image Process., 2007

2006

ODE methods for Markov chain stability with applications to MCMC.

Gersende Fort, Eric Moulines, Sean P. Meyn, Pierre Priouret

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

2005

Classification using partial least squares with penalized logistic regression.

Gersende Fort, Sophie Lambert-Lacroix

Bioinform., 2005

1998

On the Convergence of Iterated Random Maps with Applications to the MCEM Algorithm.

Gersende Fort, Eric Moulines, Philippe Soulier

Proceedings of the COMPSTAT 1998, 1998