On the Convergence of Iterated Random Maps with Applications to the MCEM Algorithm. - Gersende Fort; Eric Moulines; Philippe Soulier (COMPSTAT, 1998)

Classification using partial least squares with penalized logistic regression. - Gersende Fort; Sophie Lambert-Lacroix (Bioinform., 2005)

ODE methods for Markov chain stability with applications to MCMC. - Gersende Fort; Eric Moulines; Sean P. Meyn; Pierre Priouret (VALUETOOLS, 2006)

Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random Fields. - Florence Forbes; Gersende Fort (IEEE Trans. Image Process., 2007)

Performance analysis of a distributed Robbins-Monro algorithm for sensor networks. - Pascal Bianchi; Gersende Fort; Walid Hachem; Jérémie Jakubowicz (EUSIPCO, 2011)

Convergence of a distributed parameter estimator for sensor networks with local averaging of the estimates. - Pascal Bianchi; Gersende Fort; Walid Hachem; Jérémie Jakubowicz (ICASSP, 2011)

On adaptive stratification. - Pierre Etoré; Gersende Fort; Benjamin Jourdain; Eric Moulines (Ann. Oper. Res., 2011)

Distributed stochastic approximation: The price of non-double stochasticity. - Gemma Morral; Pascal Bianchi; Gersende Fort; Jérémie Jakubowicz (ACSCC, 2012)

New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem. - Sylvain Le Corff; Gersende Fort; Eric Moulines (LVA/ICA, 2012)

Adaptive Metropolis with Online Relabeling. - Rémi Bardenet; Olivier Cappé; Gersende Fort; Balázs Kégl (AISTATS, 2012)

Performance of a Distributed Stochastic Approximation Algorithm. - Pascal Bianchi; Gersende Fort; Walid Hachem (IEEE Trans. Inf. Theory, 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)

Adaptive Equi-Energy Sampler: Convergence and Illustration. - Amandine Schreck; Gersende Fort; Eric Moulines (ACM Trans. Model. Comput. Simul., 2013)

Success and failure of adaptation-diffusion algorithms for consensus in multi-agent networks. - Gemma Morral; Pascal Bianchi; Gersende Fort (CDC, 2014)

Coverage mapping using spatial interpolation with field measurements. - Hajer Braham; Sana Ben Jemaa; Berna Sayraç; Gersende Fort; Eric Moulines (PIMRC, 2014)

Low complexity spatial interpolation for cellular coverage analysis. - Hajer Braham; Sana Ben Jemaa; Berna Sayraç; Gersende Fort; Eric Moulines (WiOpt, 2014)

Quantitative Convergence Rates for Subgeometric Markov Chains. - Christophe Andrieu; Gersende Fort; Matti Vihola (J. Appl. Probab., 2015)

Convergence of the Wang-Landau algorithm. - Gersende Fort; Benjamin Jourdain; Estelle Kuhn; Tony Lelièvre; Gabriel Stoltz (Math. Comput., 2015)

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)

Convergence of Markovian Stochastic Approximation with Discontinuous Dynamics. - Gersende Fort; Eric Moulines; Amandine Schreck; Matti Vihola (SIAM J. Control. Optim., 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)

On Perturbed Proximal Gradient Algorithms. - Yves F. Atchadé; Gersende Fort; Eric Moulines (J. Mach. Learn. Res., 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)

Self-healing umbrella sampling: convergence and efficiency. - Gersende Fort; Benjamin Jourdain; Tony Lelièvre; Gabriel Stoltz (Stat. Comput., 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)

Fixed Rank Kriging for Cellular Coverage Analysis. - Hajer Braham; Sana Ben Jemaa; Gersende Fort; Eric Moulines; Berna Sayraç (IEEE Trans. Veh. Technol., 2017)

Stochastic Fista Algorithms: So Fast ? - Gersende Fort; Laurent Risser; Yves F. Atchadé; Eric Moulines (SSP, 2018)

Stochastic proximal-gradient algorithms for penalized mixed models. - Gersende Fort; Edouard Ollier; Adeline Samson (Stat. Comput., 2019)

A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm. - Gersende Fort; Eric Moulines; Hoi-To Wai (NeurIPS, 2020)

A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm. - Gersende Fort; Eric Moulines; Hoi-To Wai (CoRR, 2020)

Uncertainty Quantification for Stochastic Approximation Limits Using Chaos Expansion. - Stéphane Crépey; Gersende Fort; Emmanuel Gobet; Uladzislau Stazhynski (SIAM/ASA J. Uncertain. Quantification, 2020)

Geom-Spider-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization. - Gersende Fort; Eric Moulines; Hoi-To Wai (ICASSP, 2021)

Federated-EM with heterogeneity mitigation and variance reduction. - Aymeric Dieuleveut; Gersende Fort; Eric Moulines; Geneviève Robin (NeurIPS, 2021)

The Perturbed Prox-Preconditioned Spider Algorithm: Non-Asymptotic Convergence Bounds. - Gersende Fort; Eric Moulines (SSP, 2021)

The Perturbed Prox-Preconditioned Spider Algorithm for EM-Based Large Scale Learning. - Gersende Fort; Eric Moulines (SSP, 2021)

Federated Expectation Maximization with heterogeneity mitigation and variance reduction. - Aymeric Dieuleveut; Gersende Fort; Eric Moulines; Geneviève Robin (CoRR, 2021)

Fast incremental expectation maximization for finite-sum optimization: nonasymptotic convergence. - Gersende Fort; P. Gach; Eric Moulines (Stat. Comput., 2021)

Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling. - Patrice Abry; Gersende Fort; Barbara Pascal; Nelly Pustelnik (EMBC, 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 (EUSIPCO, 2022)

Pandemic Intensity Estimation from Stochastic Approximation-Based Algorithms. - Patrice Abry; Juliette Chevallier; Gersende Fort; Barbara Pascal (CAMSAP, 2023)

Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number. - Patrice Abry; Gersende Fort; Barbara Pascal; Nelly Pustelnik (EUSIPCO, 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)

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 variable metric proximal gradient with variance reduction for non-convex composite optimization. - Gersende Fort; Eric Moulines (Stat. Comput., 2023)

Hierarchical Bayesian Estimation of COVID-19 Reproduction Number. - Patrice Abry; Juliette Chevallier; Gersende Fort; Barbara Pascal (ICASSP, 2025)

Sampling Nonsmooth Log-Concave Densities: A Comparative Study of Primal-Dual Based Proposal Distributions. - Juliette Chevallier; Gersende Fort (ICASSP, 2025)

Federated Majorize-Minimization: Beyond Parameter Aggregation. - Aymeric Dieuleveut; Gersende Fort; Mahmoud Hegazy; Hoi-To Wai (CoRR, 2025)