Gersende Fort

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 31

Top Topics

Stochastic Approximation

Expectation Maximization

Temporal Evolution

Top Venues

IEEE Trans. Signal Process.

Publications

Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik
Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number. EUSIPCO (2023)
Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Hoi-To Wai
Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning. IEEE Trans. Signal Process. 71 (2023)
Gersende Fort, Eric Moulines
Stochastic Variable Metric Proximal Gradient with variance reduction for non-convex composite optimization. CoRR (2023)
Gersende Fort, Barbara Pascal, Patrice Abry, Nelly Pustelnik
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. IEEE Trans. Signal Process. 71 (2023)
Gersende Fort, Eric Moulines
Stochastic variable metric proximal gradient with variance reduction for non-convex composite optimization. Stat. Comput. 33 (3) (2023)
Patrice Abry, Juliette Chevallier, Gersende Fort, Barbara Pascal
Pandemic Intensity Estimation from Stochastic Approximation-Based Algorithms. CAMSAP (2023)
Gersende Fort, Barbara Pascal, Patrice Abry, Nelly Pustelnik
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. CoRR (2022)
Hugo Artigas, Barbara Pascal, Gersende Fort, Patrice Abry, Nelly Pustelnik
Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling. EUSIPCO (2022)
Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik
Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling. EMBC (2022)
Gersende Fort, Eric Moulines
The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learning. CoRR (2021)
Gersende Fort, Eric Moulines
The Perturbed Prox-Preconditioned Spider Algorithm: Non-Asymptotic Convergence Bounds. SSP (2021)
Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Geneviève Robin
Federated Expectation Maximization with heterogeneity mitigation and variance reduction. CoRR (2021)
Gersende Fort, Eric Moulines, Hoi-To Wai
Geom-Spider-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization. ICASSP (2021)
Gersende Fort, Eric Moulines
The Perturbed Prox-Preconditioned Spider Algorithm for EM-Based Large Scale Learning. SSP (2021)
Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Geneviève Robin
Federated-EM with heterogeneity mitigation and variance reduction. NeurIPS (2021)
Gersende Fort, P. Gach, Eric Moulines
Fast incremental expectation maximization for finite-sum optimization: nonasymptotic convergence. Stat. Comput. 31 (4) (2021)
Gersende Fort, Eric Moulines, Hoi-To Wai
Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization. CoRR (2020)
Gersende Fort, Eric Moulines, Hoi-To Wai
A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm. CoRR (2020)
Stéphane Crépey, Gersende Fort, Emmanuel Gobet, Uladzislau Stazhynski
Uncertainty Quantification for Stochastic Approximation Limits Using Chaos Expansion. SIAM/ASA J. Uncertain. Quantification 8 (3) (2020)
Gersende Fort, Eric Moulines, Hoi-To Wai
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm. NeurIPS (2020)
Gersende Fort, P. Gach, Eric Moulines
Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence. CoRR (2020)
Gersende Fort, Edouard Ollier, Adeline Samson
Stochastic proximal-gradient algorithms for penalized mixed models. Stat. Comput. 29 (2) (2019)
Gersende Fort, Laurent Risser, Yves F. Atchadé, Eric Moulines
Stochastic Fista Algorithms: So Fast ? SSP (2018)
Yves F. Atchadé, Gersende Fort, Eric Moulines
On Perturbed Proximal Gradient Algorithms. J. Mach. Learn. Res. 18 (2017)
Hajer Braham, Sana Ben Jemaa, Gersende Fort, Eric Moulines, Berna Sayraç
Fixed Rank Kriging for Cellular Coverage Analysis. IEEE Trans. Veh. Technol. 66 (5) (2017)
Gersende Fort, Benjamin Jourdain, Tony Lelièvre, Gabriel Stoltz
Self-healing umbrella sampling: convergence and efficiency. Stat. Comput. 27 (1) (2017)
Gemma Morral, Pascal Bianchi, Gersende Fort
Success and Failure of Adaptation-Diffusion Algorithms With Decaying Step Size in Multiagent Networks. IEEE Trans. Signal Process. 65 (11) (2017)
Gersende Fort, Emmanuel Gobet, Eric Moulines
MCMC design-based non-parametric regression for rare event. Application to nested risk computations. Monte Carlo Methods Appl. 23 (1) (2017)
Hajer Braham, Sana Ben Jemaa, Gersende Fort, Eric Moulines, Berna Sayraç
Spatial Prediction Under Location Uncertainty in Cellular Networks. IEEE Trans. Wirel. Commun. 15 (11) (2016)
Amandine Schreck, Gersende Fort, Sylvain Le Corff, Eric Moulines
A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection. IEEE J. Sel. Top. Signal Process. 10 (2) (2016)
Gersende Fort, Eric Moulines, Amandine Schreck, Matti Vihola
Convergence of Markovian Stochastic Approximation with Discontinuous Dynamics. SIAM J. Control. Optim. 54 (2) (2016)
Gersende Fort, Benjamin Jourdain, Estelle Kuhn, Tony Lelièvre, Gabriel Stoltz
Convergence of the Wang-Landau algorithm. Math. Comput. 84 (295) (2015)
Hajer Braham, Sana Ben Jemaa, Gersende Fort, Eric Moulines, Berna Sayraç
Fixed Rank Kriging for Cellular Coverage Analysis. CoRR (2015)
Hajer Braham, Sana Ben Jemaa, Gersende Fort, Eric Moulines, Berna Sayraç
Spatial Prediction Under Location Uncertainty In Cellular Networks. CoRR (2015)
Christophe Andrieu, Gersende Fort, Matti Vihola
Quantitative Convergence Rates for Subgeometric Markov Chains. J. Appl. Probab. 52 (2) (2015)
Gemma Morral, Pascal Bianchi, Gersende Fort
Success and failure of adaptation-diffusion algorithms for consensus in multi-agent networks. CDC (2014)
Hajer Braham, Sana Ben Jemaa, Berna Sayraç, Gersende Fort, Eric Moulines
Coverage mapping using spatial interpolation with field measurements. PIMRC (2014)
Gemma Morral, Pascal Bianchi, Gersende Fort
Success and Failure of Adaptation-Diffusion Algorithms for Consensus in Multi-Agent Networks. CoRR (2014)
Hajer Braham, Sana Ben Jemaa, Berna Sayraç, Gersende Fort, Eric Moulines
Low complexity spatial interpolation for cellular coverage analysis. WiOpt (2014)
Sylvain Le Corff, Gersende Fort
Convergence of a Particle-Based Approximation of the Block Online Expectation Maximization Algorithm. ACM Trans. Model. Comput. Simul. 23 (1) (2013)
Amandine Schreck, Gersende Fort, Eric Moulines
Adaptive Equi-Energy Sampler: Convergence and Illustration. ACM Trans. Model. Comput. Simul. 23 (1) (2013)
Pascal Bianchi, Gersende Fort, Walid Hachem
Performance of a Distributed Stochastic Approximation Algorithm. IEEE Trans. Inf. Theory 59 (11) (2013)
Rémi Bardenet, Olivier Cappé, Gersende Fort, Balázs Kégl
Adaptive Metropolis with Online Relabeling. AISTATS (2012)
Sylvain Le Corff, Gersende Fort, Eric Moulines
New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem. LVA/ICA (2012)
Pascal Bianchi, Gersende Fort, Walid Hachem
Performance of a Distributed Stochastic Approximation Algorithm CoRR (2012)
Gemma Morral, Pascal Bianchi, Gersende Fort, Jérémie Jakubowicz
Distributed stochastic approximation: The price of non-double stochasticity. ACSCC (2012)
Pascal Bianchi, Gersende Fort, Walid Hachem, Jérémie Jakubowicz
Performance analysis of a distributed Robbins-Monro algorithm for sensor networks. EUSIPCO (2011)
Pierre Etoré, Gersende Fort, Benjamin Jourdain, Eric Moulines
On adaptive stratification. Ann. Oper. Res. 189 (1) (2011)
Pascal Bianchi, Gersende Fort, Walid Hachem, Jérémie Jakubowicz
Convergence of a distributed parameter estimator for sensor networks with local averaging of the estimates. ICASSP (2011)
Florence Forbes, Gersende Fort
Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random Fields. IEEE Trans. Image Process. 16 (3) (2007)
Gersende Fort, Eric Moulines, Sean P. Meyn, Pierre Priouret
ODE methods for Markov chain stability with applications to MCMC. VALUETOOLS (2006)
Gersende Fort, Sophie Lambert-Lacroix
Classification using partial least squares with penalized logistic regression. Bioinform. 21 (7) (2005)
Gersende Fort, Eric Moulines, Philippe Soulier
On the Convergence of Iterated Random Maps with Applications to the MCEM Algorithm. COMPSTAT (1998)