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Spatial prediction under location uncertainty in cellular network
Hajer Braham
,
Sana Ben Jemaa
,
Gersende Fort
,
Eric Moulines
,
Berna Sayrac
IEEE Transactions on Wireless Communications, 2016
Article dans une revue
hal-01711752v1
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Forgetting the initial distribution for Hidden Markov Models
P. Priouret
,
R. Douc
,
Gersende Fort
,
E. Moulines
Stochastic Processes and their Applications, 2009, 119 (4), pp.1235-1256
Article dans une revue
hal-00392629v1
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Stochastic FISTA algiorithms : so fast ?
Gersende Fort
,
Laurent Risser
,
Yves Atchadé
,
Éric Moulines
SSP 2018 - IEEE Statistical Signal Processing Workshop, Jun 2018, Freiburg, Germany
Communication dans un congrès
hal-01710321v1
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A Stochastic Path-Integrated Differential EstimatoR Expectation Maximization Algorithm
Gersende Fort
,
Eric Moulines
,
Hoi-To Wai
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtuel, Canada
Communication dans un congrès
hal-03029700v1
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On Stochastic Proximal Gradient Algorithms
Y. Atchadé
,
Gersende Fort
,
Eric Moulines
Journal of Machine Learning Research, 2017
Article dans une revue
hal-02287001v1
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Fixed Rank Kriging for Cellular Coverage Analysis
Hajer Braham
,
Sana Ben Jemaa
,
Gersende Fort
,
Éric Moulines
,
Berna Sayrac
Article dans une revue
hal-01418961v1
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MCMC design-based non-parametric regression for rare-event. Application to nested risk computations
Gersende Fort
,
Emmanuel Gobet
,
Éric Moulines
Monte Carlo Methods and Applications, 2017, 23 (1), pp.21--42
Article dans une revue
hal-01394833v1
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The ODE method for stability of skip-free Markov chains with applications to MCMC
P. Priouret
,
Gersende Fort
,
S. Meyn
,
E. Moulines
The Annals of Applied Probability, 2008, 18 (2), pp.664-707
Article dans une revue
hal-00279025v1
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Subgeometric rates of convergence of f-ergodic strong Markov processes
Randal Douc
,
Gersende Fort
,
Arnaud Guillin
Article dans une revue
hal-01314855v1
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Uncertainty Quantification for Stochastic Approximation Limits Using Chaos Expansion
Stéphane Crépey
,
Gersende Fort
,
Emmanuel Gobet
,
Uladzislau Stazhynski
SIAM/ASA Journal on Uncertainty Quantification, In press, 8 (3), pp.1061-1089
Article dans une revue
hal-01629952v4
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Convergence of the Wang-Landau algorithm
Gersende Fort
,
Benjamin Jourdain
,
Estelle Kuhn
,
Tony Lelièvre
,
Gabriel Stoltz
Article dans une revue
hal-01238595v1
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A simple variance inequality for U-statistics of a Markov chain with applications
Gersende Fort
,
Eric Moulines
,
Pierre Priouret
,
Pierre Vandekerkhove
Statistics and Probability Letters, 2012, 82 (6), pp.1193--1201
Article dans une revue
hal-00608574v1
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A central limit theorem for adaptive and interacting Markov chains
Gersende Fort
,
Eric Moulines
,
Pierre Priouret
,
Pierre Vandekerkhove
Bernoulli, 2013, to be published
Article dans une revue
hal-00608569v1
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Convergence and Efficiency of the Wang-Landau algorithm
Gersende Fort
Winter School "New directions in Monte Carlo methods", Jan 2013, Gainesville, United States
Communication dans un congrès
hal-02286486v1
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Sampling Multimodal densities on large dimensional spaces
Gersende Fort
International Conference "7the Journées de Statistique du Sud", Jun 2014, Barcelone, Spain
Communication dans un congrès
hal-02286898v1
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Approximation stochastique distribuée : le coût de la non-bistochasticité
Gemma Morral
,
Pascal Bianchi
,
Gersende Fort
,
Jérémie Jakubowicz
XXIVème Colloque Gretsi, Sep 2013, Brest, France
Communication dans un congrès
hal-00867204v1
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Credibility Intervals for the Reproduction Number of the Covid-19 Pandemic Using Proximal Langevin Samplers
Patrice Abry
,
Gersende Fort
,
Barbara Pascal
,
Nelly Pustelnik
2023 31th European Signal Processing Conference (EUSIPCO), 2023
Proceedings/Recueil des communications
hal-03902144v2
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Convergence of a Particle-based Approximation of the Block Online Expectation Maximization Algorithm
Sylvain Le Corff
,
Gersende Fort
ACM Transactions on Modeling and Computer Simulation, 2013, 23 (1)
Article dans une revue
hal-00638388v3
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Limit theorems for some adaptive MCMC algorithms with subgeometric kernels
Yves Atchadé
,
Gersende Fort
Bernoulli, 2010, 16 (1), pp.116--154
Article dans une revue
hal-00300467v2
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Supplement paper to "Online Expectation Maximization based algorithms for inference in hidden Markov models
Sylvain Le Corff
,
Gersende Fort
2012
Pré-publication, Document de travail
hal-00615615v3
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Méthodes de Monte Carlo par Chaînes de Markov Adaptatives
Gersende Fort
Séminaire Statistique des sommets de Rochebrune, Apr 2014, Mégève, France
Communication dans un congrès
hal-02287056v1
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Adaptive Equi-Energy Sampler : Convergence and Illustration
Amandine Schreck
,
Gersende Fort
,
Eric Moulines
2012
Pré-publication, Document de travail
hal-00693302v4
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MCMC design-based non-parametric regression for rare event. Application to nested risk computation.
Gersende Fort
,
Emmanuel Gobet
,
Éric Moulines
Monte Carlo Methods and Applications, 2017
Article dans une revue
hal-01711748v1
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Fast incremental expectation-maximization algorithm: √N iterations for an epsilon-stationary point ?
Gersende Fort
,
Eric Moulines
,
Pierre Gach
2021
Pré-publication, Document de travail
hal-02509621v2
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Stochastic Approximation Schemes for Economic Capital and Risk Margin Computations
David Barrera
,
Stéphane Crépey
,
Babacar Diallo
,
Gersende Fort
,
Emmanuel Gobet
,
et al.
ESAIM: Proceedings and Surveys, In press
Article dans une revue
hal-01710394v1
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Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning
Aymeric Dieuleveut
,
Gersende Fort
,
Éric Moulines
,
Hoi-To Wai
IEEE Transactions on Signal Processing, In press
Article dans une revue
hal-04174351v1
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Adaptive and Interacting Monte Carlo methods for Bayesian analysis
Gersende Fort
Workshop "Big Bang, Big Data, Big Computers", Sep 2012, Paris, France
Communication dans un congrès
hal-02286420v1
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Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers
Gersende Fort
,
Barbara Pascal
,
Patrice Abry
,
Nelly Pustelnik
Article dans une revue
hal-03611079v3
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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/Recueil des communications
hal-03565440v2
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Adaptive Metropolis with online relabeling
R. Bardenet
,
O. Cappé
,
Gersende Fort
,
Balázs Kégl
Fifteenth International Conference on Artificial Intelligence and Statistics, Apr 2012, La Palma, Spain. pp.91-99
Communication dans un congrès
in2p3-00698479v1
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