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The promises and pitfalls of Stochastic Gradient Langevin Dynamics

Nicolas Brosse , Alain Durmus , Éric Moulines
NeurIPS 2018 (Advances in Neural Information Processing Systems 2018), Dec 2018, Montreal, France
Conference papers hal-01934291v1
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The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction

Alice Martin , Charles Ollion , Florian Strub , Sylvain Le Corff , Olivier Pietquin
Preprints, Working Papers, ... hal-02896961v2
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Robust Lasso-Zero for sparse corruption and model selection with missing covariates

Pascaline Descloux , Claire Boyer , Julie Josse , Aude Sportisse , Sylvain Sardy
Preprints, Working Papers, ... hal-02569696v1
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On Kernel Derivative Approximation with Random Fourier Features

Zoltán Szabó , Bharath K Sriperumbudur
International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Japan
Conference papers hal-01897996v3

Dealing with missing data in model-based clustering through a MNAR model

Christophe Biernacki , Gilles Celeux , Julie Josse , Fabien Laporte
CMStatistics 2018 - 11th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2018, Pise, Italy
Conference papers hal-01949120v1


Yannick Baraud , Christophe Giraud , Sylvie Huet
Annals of Statistics, 2009, 37 (2), pp.630-672
Journal articles hal-00756074v1
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Surrogate-Assisted Bounding-Box Approach Applied to Constrained Multi-Objective Optimisation Under Uncertainty

Mickael Rivier , Pietro Marco Congedo
[Research Report] RR-9214, Inria Saclay Ile de France. 2018, pp.1-37
Reports hal-01897399v2
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Decision making strategy for antenatal echographic screening of foetal abnormalities using statistical learning

Rémi Besson
Applications [stat.AP]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLX037⟩
Theses tel-02379295v1
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Parametric inference for diffusions observed at stopping times

Emmanuel Gobet , Uladzislau Stazhynski
Preprints, Working Papers, ... hal-01879286v1
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Day-ahead probabilistic forecast of solar irradiance: a Stochastic Differential Equation approach

Jordi Badosa , Emmanuel Gobet , Maxime Grangereau , Daeyoung Kim
Preprints, Working Papers, ... hal-01625651v1

Propriétés asymptotiques de l'estimateur de maximum de vraisemblance pour des modèles de Markov cachés généraux

Randal Douc , Catherine Matias
Comptes Rendus de l'Académie des Sciences - Series I - Mathematics, 2000, 330 (2), pp.135-138. ⟨10.1016/s0764-4442(00)00138-5⟩
Journal articles istex hal-04081679v1

Quantitative bounds on convergence of time-inhomogeneous Markov chains

Randal Douc , E. Moulines , Jeffrey Rosenthal
Annals of Applied Probability, 2004, 14 (4), ⟨10.1214/105051604000000620⟩
Journal articles hal-04081669v1
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Particle rejuvenation of Rao-Blackwellized Sequential Monte Carlo smoothers for Conditionally Linear and Gaussian models

Ngoc Minh Nguyen , Sylvain Le Corff , Éric Moulines
EURASIP Journal on Advances in Signal Processing, 2017, 54, ⟨10.1186/s13634-017-0489-5⟩
Journal articles hal-01555274v1
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Per instance algorithm configuration of CMA-ES with limited budget

Nacim Belkhir , Johann Dreo , Pierre Savéant , Marc Schoenauer
GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference , Jul 2017, Berlin, Germany. pp. 681-688
Conference papers hal-01613753v1
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Statistical Post-Processing of Weather Forecasts for the Renewable Energy Production by Eolian Devices

Lionel Lenôtre
Preprints, Working Papers, ... hal-01499295v1

Efficient optimization under uncertainty within the SABBa framework

Mickael Rivier , Pietro Marco Congedo
ECCM-ECFD 2018 - 6th European Conference on Computational Mechanics - 7th European Conference on Computational Fluid Dynamics, Jun 2018, Glasgow, United Kingdom
Conference papers hal-01841360v1
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QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning

Maxime Vono , Vincent Plassier , Alain Durmus , Aymeric Dieuleveut , Eric Moulines
International Conference on Artificial Intelligence and Statistics, 2022, Online, France
Conference papers hal-03589952v1
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Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)

Paul Novello , Gaël Poëtte , David Lugato , Simon Peluchon , Pietro Marco Congedo
Preprints, Working Papers, ... hal-03789842v1
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Leveraging Local Variation in Data: Sampling and Weighting Schemes for Supervised Deep Learning

Paul Novello , Gaël Poëtte , David Lugato , Pietro Marco Congedo
Journal of Machine Learning for Modeling and Computing, 2022, 3 (1), ⟨10.1615/JMachLearnModelComput.2022041819⟩
Journal articles hal-02885827v4
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Probabilistic atlas statistical estimation with multimodal datasets and its application to atlas based segmentation

Hao Xu
Statistics [math.ST]. Ecole Polytechnique X, 2014. English. ⟨NNT : ⟩
Theses pastel-00969176v1
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A pseudo-RIP for multivariate regression

Christophe Giraud
Preprints, Working Papers, ... hal-00604065v1
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Modelling microstructure noise with mutually exciting point processes

Emmanuel Bacry , Sylvain Delattre , Marc Hoffmann , Jean-François Muzy
Quantitative Finance, 2013, 13 (1), pp.65-77. ⟨10.1080/14697688.2011.647054⟩
Journal articles hal-00779787v1
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Low rank Multivariate regression

Christophe Giraud
Preprints, Working Papers, ... hal-00521219v2
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Diffusion approximations and control variates for MCMC

Nicolas Brosse , Alain Durmus , Sean Meyn , Éric Moulines
Preprints, Working Papers, ... hal-01934316v1
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Parallelized Stochastic Gradient Markov Chain Monte Carlo Algorithms for Non-Negative Matrix Factorization

Umut Şimşekli , Alain Durmus , Roland Badeau , Gael Richard , Éric Moulines , et al.
42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Mar 2017, New Orleans, United States
Conference papers hal-01416357v1
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Inference with selection, varying population size and evolving population structure: Application of ABC to a forward-backward coalescent process with interactions

Clotilde Lepers , Sylvain Billiard , Matthieu Porte , Sylvie Méléard , Viet-Chi Tran
Heredity, 2021, 126, pp.335-350. ⟨10.1038/s41437-020-00381-x⟩
Journal articles hal-02327455v2
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On the existence of some ARCH($\infty$) processes

Randal Douc , François Roueff , Philippe Soulier
Stochastic Processes and their Applications, 2008, 118 (5), pp.755-761. ⟨10.1016/⟩
Journal articles hal-00113157v3
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ICU Bed Availability Monitoring and analysis in the Grand Est region of France during the COVID-19 epidemic

Consortium Icubam , Laurent Bonnasse-Gahot , Maxime Dénès , Gabriel Dulac-Arnold , Sertan Girgin , et al.
Statistique et Société, 2022, ⟨10.1101/2020.05.18.20091264⟩
Journal articles hal-02620018v1
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A New Class of Stochastic EM Algorithms. Escaping Local Maxima and Handling Intractable Sampling

Stéphanie Allassonnière , Juliette Chevallier
Computational Statistics and Data Analysis, 2021, 159, pp.107159. ⟨10.1016/j.csda.2020.107159⟩
Journal articles hal-02044722v4

Efficiency of the Wang-Landau Algorithm: A Simple Test Case

Gersende Fort , Benjamin Jourdain , Estelle Kuhn , Tony Lelièvre , Gabriel Stoltz
Applied Mathematics Research eXpress, 2014, 2014 (2), pp.275-311. ⟨10.1093/amrx/abu003⟩
Journal articles hal-00721886v1