Gersende Fort - RankMe

58 papers A* 2A 1B 2Misc 4Journal 36Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts. CoRR TrungKhang Tran, TrungTin Nguyen, Gersende Fort, Tung Doan, Hien Duy Nguyen, Binh T. Nguyen, Florence Forbes, Christopher C. Drovandi
2026	J	`jnl`	Sequential Sample Average Majorization-Minimization. Stat. Comput. Gersende Fort, Florence Forbes, Hien Duy Nguyen
2025	J	`jnl`	Federated Majorize-Minimization: Beyond Parameter Aggregation. CoRR Aymeric Dieuleveut, Gersende Fort, Mahmoud Hegazy, Hoi-To Wai
2025	Misc	`conf`	Hierarchical Bayesian Estimation of COVID-19 Reproduction Number. ICASSP Patrice Abry, Juliette Chevallier, Gersende Fort, Barbara Pascal
2025	Misc	`conf`	Sampling Nonsmooth Log-Concave Densities: A Comparative Study of Primal-Dual Based Proposal Distributions. ICASSP Juliette Chevallier, Gersende Fort
2023	J	`jnl`	Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. IEEE Trans. Signal Process. Gersende Fort, Barbara Pascal, Patrice Abry, Nelly Pustelnik
2023	—	`conf`	Pandemic Intensity Estimation from Stochastic Approximation-Based Algorithms. CAMSAP Patrice Abry, Juliette Chevallier, Gersende Fort, Barbara Pascal
2023	—	`conf`	Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number. EUSIPCO Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik
2023	J	`jnl`	Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning. IEEE Trans. Signal Process. Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Hoi-To Wai
2023	J	`jnl`	Stochastic Variable Metric Proximal Gradient with variance reduction for non-convex composite optimization. CoRR Gersende Fort, Eric Moulines
2023	J	`jnl`	Stochastic variable metric proximal gradient with variance reduction for non-convex composite optimization. Stat. Comput. Gersende Fort, Eric Moulines
2022	J	`jnl`	Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. CoRR Gersende Fort, Barbara Pascal, Patrice Abry, Nelly Pustelnik
2022	—	`conf`	Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling. EUSIPCO Hugo Artigas, Barbara Pascal, Gersende Fort, Patrice Abry, Nelly Pustelnik
2022	—	`conf`	Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling. EMBC Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik
2021	J	`jnl`	Fast incremental expectation maximization for finite-sum optimization: nonasymptotic convergence. Stat. Comput. Gersende Fort, P. Gach, Eric Moulines
2021	J	`jnl`	Federated Expectation Maximization with heterogeneity mitigation and variance reduction. CoRR Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Geneviève Robin
2021	A*	`conf`	Federated-EM with heterogeneity mitigation and variance reduction. NeurIPS Aymeric Dieuleveut, Gersende Fort, Eric Moulines, Geneviève Robin
2021	Misc	`conf`	Geom-Spider-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization. ICASSP Gersende Fort, Eric Moulines, Hoi-To Wai
2021	J	`jnl`	The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learning. CoRR Gersende Fort, Eric Moulines
2021	—	`conf`	The Perturbed Prox-Preconditioned Spider Algorithm for EM-Based Large Scale Learning. SSP Gersende Fort, Eric Moulines
2021	—	`conf`	The Perturbed Prox-Preconditioned Spider Algorithm: Non-Asymptotic Convergence Bounds. SSP Gersende Fort, Eric Moulines
2020	A*	`conf`	A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm. NeurIPS Gersende Fort, Eric Moulines, Hoi-To Wai
2020	J	`jnl`	A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm. CoRR Gersende Fort, Eric Moulines, Hoi-To Wai
2020	J	`jnl`	Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence. CoRR Gersende Fort, P. Gach, Eric Moulines
2020	J	`jnl`	Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization. CoRR Gersende Fort, Eric Moulines, Hoi-To Wai
2020	J	`jnl`	Uncertainty Quantification for Stochastic Approximation Limits Using Chaos Expansion. SIAM/ASA J. Uncertain. Quantification Stéphane Crépey, Gersende Fort, Emmanuel Gobet, Uladzislau Stazhynski
2019	J	`jnl`	Stochastic proximal-gradient algorithms for penalized mixed models. Stat. Comput. Gersende Fort, Edouard Ollier, Adeline Samson
2018	—	`conf`	Stochastic Fista Algorithms: So Fast ? SSP Gersende Fort, Laurent Risser, Yves F. Atchadé, Eric Moulines
2017	J	`jnl`	Fixed Rank Kriging for Cellular Coverage Analysis. IEEE Trans. Veh. Technol. Hajer Braham, Sana Ben Jemaa, Gersende Fort, Eric Moulines, Berna Sayraç
2017	J	`jnl`	MCMC design-based non-parametric regression for rare event. Application to nested risk computations. Monte Carlo Methods Appl. Gersende Fort, Emmanuel Gobet, Eric Moulines
2017	J	`jnl`	On Perturbed Proximal Gradient Algorithms. J. Mach. Learn. Res. Yves F. Atchadé, Gersende Fort, Eric Moulines
2017	J	`jnl`	Self-healing umbrella sampling: convergence and efficiency. Stat. Comput. Gersende Fort, Benjamin Jourdain, Tony Lelièvre, Gabriel Stoltz
2017	J	`jnl`	Success and Failure of Adaptation-Diffusion Algorithms With Decaying Step Size in Multiagent Networks. IEEE Trans. Signal Process. Gemma Morral, Pascal Bianchi, Gersende Fort
2016	J	`jnl`	A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection. IEEE J. Sel. Top. Signal Process. Amandine Schreck, Gersende Fort, Sylvain Le Corff, Eric Moulines
2016	J	`jnl`	Convergence of Markovian Stochastic Approximation with Discontinuous Dynamics. SIAM J. Control. Optim. Gersende Fort, Eric Moulines, Amandine Schreck, Matti Vihola
2016	J	`jnl`	Spatial Prediction Under Location Uncertainty in Cellular Networks. IEEE Trans. Wirel. Commun. Hajer Braham, Sana Ben Jemaa, Gersende Fort, Eric Moulines, Berna Sayraç
2015	J	`jnl`	Convergence of the Wang-Landau algorithm. Math. Comput. Gersende Fort, Benjamin Jourdain, Estelle Kuhn, Tony Lelièvre, Gabriel Stoltz
2015	J	`jnl`	Fixed Rank Kriging for Cellular Coverage Analysis. CoRR Hajer Braham, Sana Ben Jemaa, Gersende Fort, Eric Moulines, Berna Sayraç
2015	J	`jnl`	Quantitative Convergence Rates for Subgeometric Markov Chains. J. Appl. Probab. Christophe Andrieu, Gersende Fort, Matti Vihola
2015	J	`jnl`	Spatial Prediction Under Location Uncertainty In Cellular Networks. CoRR Hajer Braham, Sana Ben Jemaa, Gersende Fort, Eric Moulines, Berna Sayraç
2014	B	`conf`	Coverage mapping using spatial interpolation with field measurements. PIMRC Hajer Braham, Sana Ben Jemaa, Berna Sayraç, Gersende Fort, Eric Moulines
2014	B	`conf`	Low complexity spatial interpolation for cellular coverage analysis. WiOpt Hajer Braham, Sana Ben Jemaa, Berna Sayraç, Gersende Fort, Eric Moulines
2014	J	`jnl`	Success and Failure of Adaptation-Diffusion Algorithms for Consensus in Multi-Agent Networks. CoRR Gemma Morral, Pascal Bianchi, Gersende Fort
2014	—	`conf`	Success and failure of adaptation-diffusion algorithms for consensus in multi-agent networks. CDC Gemma Morral, Pascal Bianchi, Gersende Fort
2013	J	`jnl`	Adaptive Equi-Energy Sampler: Convergence and Illustration. ACM Trans. Model. Comput. Simul. Amandine Schreck, Gersende Fort, Eric Moulines
2013	J	`jnl`	Convergence of a Particle-Based Approximation of the Block Online Expectation Maximization Algorithm. ACM Trans. Model. Comput. Simul. Sylvain Le Corff, Gersende Fort
2013	J	`jnl`	Performance of a Distributed Stochastic Approximation Algorithm. IEEE Trans. Inf. Theory Pascal Bianchi, Gersende Fort, Walid Hachem
2012	A	`conf`	Adaptive Metropolis with Online Relabeling. AISTATS Rémi Bardenet, Olivier Cappé, Gersende Fort, Balázs Kégl
2012	—	`conf`	Distributed stochastic approximation: The price of non-double stochasticity. ACSCC Gemma Morral, Pascal Bianchi, Gersende Fort, Jérémie Jakubowicz
2012	—	`conf`	New Online EM Algorithms for General Hidden Markov Models. Application to the SLAM Problem. LVA/ICA Sylvain Le Corff, Gersende Fort, Eric Moulines
2012	J	`jnl`	Performance of a Distributed Stochastic Approximation Algorithm CoRR Pascal Bianchi, Gersende Fort, Walid Hachem
2011	Misc	`conf`	Convergence of a distributed parameter estimator for sensor networks with local averaging of the estimates. ICASSP Pascal Bianchi, Gersende Fort, Walid Hachem, Jérémie Jakubowicz
2011	J	`jnl`	On adaptive stratification. Ann. Oper. Res. Pierre Etoré, Gersende Fort, Benjamin Jourdain, Eric Moulines
2011	—	`conf`	Performance analysis of a distributed Robbins-Monro algorithm for sensor networks. EUSIPCO Pascal Bianchi, Gersende Fort, Walid Hachem, Jérémie Jakubowicz
2007	J	`jnl`	Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random Fields. IEEE Trans. Image Process. Florence Forbes, Gersende Fort
2006	—	`conf`	ODE methods for Markov chain stability with applications to MCMC. VALUETOOLS Gersende Fort, Eric Moulines, Sean P. Meyn, Pierre Priouret
2005	J	`jnl`	Classification using partial least squares with penalized logistic regression. Bioinform. Gersende Fort, Sophie Lambert-Lacroix
1998	—	`conf`	On the Convergence of Iterated Random Maps with Applications to the MCEM Algorithm. COMPSTAT Gersende Fort, Eric Moulines, Philippe Soulier