Julyan Arbel

124
Documents

Présentation

Vous pouvez trouver en suivant les liens:

- ma page personnelle: http://www.julyanarbel.com/

- mon CV en Anglais et en Français.

Publications

Publications

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Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review

Minh Tri Lê , Pierre Wolinski , Julyan Arbel

ACM Transactions on Intelligent Systems and Technology, In press, ⟨10.1145/3798276⟩

Article dans une revue hal-04296440v2
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Optimal sub-Gaussian variance proxy for truncated Gaussian and exponential random variables

Mathias Barreto , Olivier Marchal , Julyan Arbel

Statistics and Probability Letters, 2026, 228, pp.110555. ⟨10.1016/j.spl.2025.110555⟩

Article dans une revue hal-04503494v2

Species sensitivity distribution revisited: a Bayesian nonparametric approach

Louise Alamichel , Julyan Arbel , Guillaume Kon Kam King , Igor Prünster

Journal of the Royal Statistical Society: Series C Applied Statistics, 2026, ⟨10.1093/jrsssc/qlag007⟩

Article dans une revue hal-05541245v1
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Revisiting Concentration Results for Approximate Bayesian Computation

Hien Nguyen , Trungtin Nguyen , Julyan Arbel , Florence Forbes

Bayesian Analysis, 2025, pp.1-23. ⟨10.1214/25-BA1520⟩

Article dans une revue hal-03987197v2
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On the use of a local $\hat R$ to improve MCMC convergence diagnostic

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard

Bayesian Analysis, 2025, 20 (1), pp.1433-1458. ⟨10.1214/23-BA1399⟩

Article dans une revue hal-03600407v2
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Gaussian Pre-Activations in Neural Networks: Myth or Reality?

Pierre Wolinski , Julyan Arbel

Transactions on Machine Learning Research Journal, 2025, pp.1-50

Article dans une revue hal-03933169v3
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Bayesian nonparametric mixture of experts for inverse problems

Trungtin Nguyen , Florence Forbes , Julyan Arbel , Hien Duy Nguyen

Journal of Nonparametric Statistics, 2024, pp.1-60. ⟨10.1080/10485252.2024.2426091⟩

Article dans une revue hal-04015203v3
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Bayesian mixture models (in)consistency for the number of clusters

Louise Alamichel , Daria Bystrova , Julyan Arbel , Guillaume Kon Kam King

Scandinavian Journal of Statistics, 2024, 51 (4), pp.1619-1660. ⟨10.1111/sjos.12739⟩

Article dans une revue hal-03866434v2

A Primer on Bayesian Neural Networks: Review and Debates

Julyan Arbel , Konstantinos Pitas , Mariia Vladimirova , Vincent Fortuin

Statistical Science, 2024, pp.1-46

Article dans une revue hal-04900923v1
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Shrinkage for Extreme Partial Least-Squares

Julyan Arbel , Stéphane Girard , Hadrien Lorenzo

Statistics and Computing, 2024, 34, pp.181. ⟨10.1007/s11222-024-10490-w⟩

Article dans une revue hal-04251783v4
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Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms

Daria Bystrova , Charles Assaad , Julyan Arbel , Emilie Devijver , Éric Gaussier et al.

Transactions on Machine Learning Research Journal, 2024, pp.1-30

Article dans une revue hal-04606168v1
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Reparameterization of extreme value framework for improved Bayesian workflow

Théo Moins , Julyan Arbel , Stéphane Girard , Anne Dutfoy

Computational Statistics and Data Analysis, 2023, 187, pp.1-21. ⟨10.1016/j.csda.2023.107807⟩

Article dans une revue hal-03806159v4
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Multivariate expectile-based distribution: properties, Bayesian inference, and applications

Julyan Arbel , Stéphane Girard , Hien Duy Nguyen , Antoine Usseglio-Carleve

Journal of Statistical Planning and Inference, 2023, 225, pp.146-170. ⟨10.1016/j.jspi.2022.12.001⟩

Article dans une revue hal-03428827v2
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Bayes in action in deep learning and dictionary learning

Julyan Arbel , Hong-Phuong Dang , Clement Elvira , Cédric Herzet , Zacharie Naulet et al.

ESAIM: Proceedings and Surveys, 2023, 74, pp.90-107. ⟨10.1051/proc/202374090⟩

Article dans une revue hal-04357371v1
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Summary statistics and discrepancy measures for ABC via surrogate posteriors

Florence Forbes , Hien Duy Nguyen , Trung Tin Nguyen , Julyan Arbel

Statistics and Computing, 2022, 32 (85), ⟨10.1007/s11222-022-10155-6⟩

Article dans une revue hal-03139256v5
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Identifying and correcting for misspecifications in GWAS summary statistics and polygenic scores

Florian Privé , Julyan Arbel , Hugues Aschard , Bjarni Vilhjálmsson

Human Genetics and Genomics Advances, 2022, 3 (4), pp.100136. ⟨10.1016/j.xhgg.2022.100136⟩

Article dans une revue hal-04144877v1
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Dirichlet process mixtures under affine transformations of the data

Julyan Arbel , Riccardo Corradin , Bernardo Nipoti

Computational Statistics, 2021, 36, pp.577-601. ⟨10.1007/s00180-020-01013-y⟩

Article dans une revue hal-01950652v2
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Bayesian inverse regression for vascular magnetic resonance fingerprinting

Fabien Boux , Florence Forbes , Julyan Arbel , Benjamin Lemasson , Emmanuel L. Barbier

IEEE Transactions on Medical Imaging, 2021, 40 (7), pp.1827-1837. ⟨10.1109/TMI.2021.3066781⟩

Article dans une revue hal-02314026v3
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Approximating predictive probabilities of Gibbs-type priors

Julyan Arbel , Stefano Favaro

Sankhya A, 2021, 83, pp.496-519. ⟨10.1007/s13171-019-00187-y⟩

Article dans une revue hal-01693333v1
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Discussion of the paper "Rank-Normalization, Folding, and Localization: An Improved $\widehat R$ for Assessing Convergence of MCMC

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard

Bayesian Analysis, 2021, 16 (2), pp.711--712. ⟨10.1214/20-ba1221⟩

Article dans une revue hal-03222934v1
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BNPdensity: Bayesian nonparametric mixture modelling in R

Julyan Arbel , Guillaume Kon Kam King , Antonio Lijoi , Luis E. Nieto‐Barajas , Igor Prünster

Australian and New Zealand Journal of Statistics, 2021, 63 (3), pp.542-564. ⟨10.1111/anzs.12342⟩

Article dans une revue hal-03433254v1
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Clustering species with residual covariance matrix in Joint Species Distribution models

Daria Bystrova , Giovanni Poggiato , Billur Bektaş , Julyan Arbel , James S Clark et al.

Frontiers in Ecology and Evolution, 2021, 9, pp.601384:1-11. ⟨10.3389/fevo.2021.601384⟩

Article dans une revue hal-03151472v1
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On the interpretations of joint modelling in community ecology

Giovanni Poggiato , Tamara Münkemüller , Daria Bystrova , Julyan Arbel , James Clark et al.

Trends in Ecology & Evolution, 2021, 36 (5), pp.391-401. ⟨10.1016/j.tree.2021.01.002⟩

Article dans une revue (article de synthèse) hal-03153558v1
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Approximate Bayesian computation via the energy statistic

Hien D Nguyen , Julyan Arbel , Hongliang Lu , Florence Forbes

IEEE Access, 2020, 8, pp.131683-131698. ⟨10.1109/access.2020.3009878⟩

Article dans une revue hal-02399934v1
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LDpred2: better, faster, stronger

Florian Privé , Julyan Arbel , Bjarni J Vilhjálmsson

Bioinformatics, 2020, 36 (22-23), pp.5424-5431. ⟨10.1093/bioinformatics/btaa1029⟩

Article dans une revue hal-03132949v1
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On strict sub-Gaussianity, optimal proxy variance and symmetry for bounded random variables

Julyan Arbel , Olivier Marchal , Hien T Nguyen

ESAIM: Probability and Statistics, 2020, 24, pp.39-55. ⟨10.1051/ps/2019018⟩

Article dans une revue hal-01998252v1
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On the Hurwitz zeta function with an application to the exponential-beta distribution

Julyan Arbel , Olivier Marchal , Bernardo Nipoti

Journal of Inequalities and Applications, 2020, 2020, pp.89:1-8. ⟨10.1186/s13660-020-02357-1⟩

Article dans une revue hal-02400451v1
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Bayesian nonparametric priors for hidden Markov random fields

Hongliang Lu , Julyan Arbel , Florence Forbes

Statistics and Computing, 2020, 30, pp.1015-1035. ⟨10.1007/s11222-020-09935-9⟩

Article dans une revue hal-02163046v3
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Sub-Weibull distributions: generalizing sub-Gaussian and sub-Exponential properties to heavier-tailed distributions

Mariia Vladimirova , Stéphane Girard , Hien Nguyen , Julyan Arbel

Stat, 2020, 9 (1), pp.e318:1-8. ⟨10.1002/sta4.318⟩

Article dans une revue hal-02545121v2
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Stochastic approximations to the Pitman-Yor process

Julyan Arbel , Pierpaolo de Blasi , Igor Prünster

Bayesian Analysis, 2019, 14 (3), pp.753-771. ⟨10.1214/18-BA1127⟩

Article dans une revue hal-01950654v1
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Dependence properties and Bayesian inference for asymmetric multivariate copulas

Julyan Arbel , Marta Crispino , Stéphane Girard

Journal of Multivariate Analysis, 2019, 174, pp.104530:1-20. ⟨10.1016/j.jmva.2019.06.008⟩

Article dans une revue hal-01963975v2
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A simple proof of Pitman-Yor's Chinese restaurant process from its stick-breaking representation

Caroline Lawless , Julyan Arbel

Dependence Modeling, 2019, 7 (1), pp.45-52. ⟨10.1515/demo-2019-0003⟩

Article dans une revue hal-01950653v1
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Bayesian nonparametric inference for discovery probabilities: credible intervals and large sample asymptotics

Julyan Arbel , Stefano Favaro , Bernardo Nipoti , Yee Whye Teh

Statistica Sinica, 2017, 27, pp.839-858. ⟨10.5705/ss.202015.0250⟩

Article dans une revue hal-01203324v1
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A moment-matching Ferguson & Klass algorithm

Julyan Arbel , Igor Prünster

Statistics and Computing, 2017, 27 (1), pp.3-17. ⟨10.1007/s11222-016-9676-8⟩

Article dans une revue hal-01396587v1
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On the sub-Gaussianity of the Beta and Dirichlet distributions

Olivier Marchal , Julyan Arbel

Electronic Communications in Probability, 2017, 22 (paper no. 54), pp.1-14. ⟨10.1214/17-ECP92⟩

Article dans une revue hal-01521300v1
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Estimation des flux d'immigration : réconciliation de deux sources par une approche bayésienne

Julyan Arbel , Vianney Costemalle

Economie et Statistique / Economics and Statistics, 2016, 483-484-485, pp.121-149

Article dans une revue hal-05516336v1
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Estimation des flux d’immigration : réconciliation de deux sources par une approche bayésienne

Julyan Arbel , Vianney Costemalle

Economie et Statistique / Economics and Statistics, 2016, 483-484-485, pp.121-149. ⟨10.3406/estat.2016.10676⟩

Article dans une revue hal-01396606v1
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Bayesian nonparametric dependent model for partially replicated data: the influence of fuel spills on species diversity

Julyan Arbel , Kerrie L. Mengersen , Judith Rousseau

Annals of Applied Statistics, 2016, 10 (3), pp.1496-1516. ⟨10.1214/16-AOAS944⟩

Article dans une revue hal-01203345v1
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Full Bayesian inference with hazard mixture models

Julyan Arbel , Antonio Lijoi , Bernardo Nipoti

Computational Statistics and Data Analysis, 2016, 93, pp.359--372. ⟨10.1016/j.csda.2014.12.003⟩

Article dans une revue hal-01203296v1
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Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel-contaminated soil

Julyan Arbel , Catherine K King , Ben Raymond , Tristrom Winsley , Kerrie L. Mengersen

Ecology and Evolution, 2015, ⟨10.1002/ece3.1493⟩

Article dans une revue hal-01203289v1

Discussion of Sequential quasi Monte Carlo

Julyan Arbel , Igor Prünster

Journal of the Royal Statistical Society: Series B, 2015, 77 (3), pp.559-560. ⟨10.1111/rssb.12104⟩

Article dans une revue hal-01970234v1
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Bayesian optimal adaptive estimation using a sieve prior

Julyan Arbel , Ghislaine Gayraud , Judith Rousseau

Scandinavian Journal of Statistics, 2013, ⟨10.1002/sjos.12002⟩

Article dans une revue hal-01203280v1
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Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit

Julien Zhou , Pierre Gaillard , Thibaud Rahier , Julyan Arbel

ALT 2025 - 36th International Conference on Algorithmic Learning Theory, Feb 2025, Milan, Italy. pp.1-25, ⟨10.48550/arXiv.2410.08578⟩

Communication dans un congrès hal-04729023v2
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Simulation-based inference of yeast centromeres

Eloïse Touron , Pedro Luiz Coelho Rodrigues , Julyan Arbel , Nelle Varoquaux , Michael Arbel

NeurIPS 2025 - 39th Conference on Neural Information Processing Systems Workshop : The 3rd Workshop on Imageomics: Discovering Biological Knowledge from Images Using AI., Dec 2025, Copenhagen, Denmark. pp.1-13, ⟨10.48550/arXiv.2509.00200⟩

Communication dans un congrès hal-05376939v1
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Error analysis of a compositional score-based algorithm for simulation-based inference

Camille Touron , Gabriel Victorino Cardoso , Julyan Arbel , Pedro Luiz Coelho Rodrigues

Workshop on Principles of Generative Modeling at EurIPS 2025, Dec 2025, Copenhague, Denmark

Communication dans un congrès hal-05433494v1
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Some Bayesian nonparametric ideas in (Bayesian) deep learning

Julyan Arbel

RSS 2025 - International Conference of Royal Statistical Society, Sep 2025, Edimbourg, United Kingdom

Communication dans un congrès hal-05240781v1

Overview and challenges in Bayesian deep learning

Julyan Arbel

JdS 2025 - 56es Journées de Statistique de la SFdS, Jun 2025, Marseille, France

Communication dans un congrès hal-05137640v1
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Bayesian deep learning: Overview and challenges

Julyan Arbel

BNP 14 - 14th International Conference on Bayesian Nonparametrics, Jun 2025, Los Angeles (CA), United States

Communication dans un congrès hal-05132111v1
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Clustering inconsistency for Pitman--Yor mixture models with a prior on the precision but fixed discount parameter

Caroline Lawless , Louise Alamichel , Julyan Arbel , Guillaume Kon Kam King

AABI 2023 - 5th Symposium on Advances in Approximate Bayesian Inference, Jul 2023, Honolulu, United States. pp.1-12

Communication dans un congrès hal-04425711v1

Reparameterization of extreme value framework for improved Bayesian workflow

Julyan Arbel , Anne Dutfoy-Lebrun , Stéphane Girard , Théo Moins

EVA 2023 - 13th International Conference on Extreme Value Analysis, Probabilistic and Statistical Models and their Applications, Jun 2023, Milan, Italy

Communication dans un congrès hal-04170162v1

Regularized partial least squares for extreme values

Julyan Arbel , Stéphane Girard , Hadrien Lorenzo

CMStatistics 2023 - 16th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2023, Berlin, Germany

Communication dans un congrès hal-04350491v1
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Imposing Gaussian Pre-Activations in a Neural Network

Pierre Wolinski , Julyan Arbel

JDS 2022 - 53es Journées de Statistique de la Société Française de Statistiques (SFdS), Jun 2022, Lyon, France

Communication dans un congrès hal-03853790v1

Improving MCMC convergence diagnostic with a local version of R-hat

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard

CMStatistics 2022 - 15th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2022, London, United Kingdom

Communication dans un congrès hal-03910658v1
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Bayesian nonparametric mixtures inconsistency for the number of clusters

Louise Alamichel , Julyan Arbel , Daria Bystrova , Guillaume Kon Kam King

53es journées de Statistiques, Société Française de Statistique, Jun 2022, Lyon, France

Communication dans un congrès hal-03866522v1

On the consistency of Bayesian nonparametric mixtures for the number of clusters

Louise Alamichel , Daria Bystrova , Julyan Arbel , Guillaume Kon Kam King

ISBA 2022 - World Meeting International Society for Bayesian Analysis, Jun 2022, Montreal, Canada

Communication dans un congrès hal-03866460v1

On the use of a local R-hat to improve MCMC convergence diagnostic

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard

Energy Forecasting Innovation Conference 2022, May 2022, Londres, United Kingdom

Communication dans un congrès hal-03683896v1

Bayesian nonparametric mixture of experts for high-dimensional inverse problems

Trungtin Nguyen , Florence Forbes , Julyan Arbel

BNP13 - 13th International Conference on Bayesian Nonparametrics, Oct 2022, Puerto Varas, Chile

Communication dans un congrès hal-04001270v1
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Mixture of expert posterior surrogates for approximate Bayesian computation

Florence Forbes , Hien Duy Nguyen , Trungtin Nguyen , Julyan Arbel

SFdS 2022 - 53èmes Journées de Statistique de la Société Française de Statistique, Jun 2022, Lyon, France. pp.1-6

Communication dans un congrès hal-03679688v1
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A local version of R-hat for MCMC convergence diagnostic

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard

SFdS 2022 - 53èmes Journées de Statistique de la Société Française de Statistique, Jun 2022, Lyon, France. pp.1-6

Communication dans un congrès hal-03683927v1
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A Bayesian Framework for Poisson Process Characterization of Extremes with Objective Prior

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard

ISBA 2021 - World Meeting of the International Society for Bayesian Analysis, Jun 2021, Virtual, France

Communication dans un congrès hal-03347871v1
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Dependence between Bayesian neural network units

Mariia Vladimirova , Julyan Arbel , Stéphane Girard

BDL 2021 - Workshop. Bayesian Deep Learning NeurIPS, Dec 2021, Montreal, Canada. pp.1-9, ⟨10.48550/arXiv.2111.14397⟩

Communication dans un congrès hal-03449211v1

A Bayesian framework for Poisson process characterization of extremes with uninformative prior

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard

CMStatistics 2021 - 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2021, London, United Kingdom

Communication dans un congrès hal-03501794v1

Improving MCMC convergence diagnostic with a local version of R-hat

Julyan Arbel , Stéphane Girard , Théo Moins , Anne Dutfoy , Khalil Leachouri

MAS 2021 - Journées Modélisation Aléatoire et Statistique, Aug 2021, Orléans, France

Communication dans un congrès hal-03337454v1
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On Reparameterisations of the Poisson Process Model for Extremes in a Bayesian Framework

Théo Moins , Julyan Arbel , Anne Dutfoy , Stéphane Girard

JDS 2021 - 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2021, Nice / Virtual, France. pp.1-6

Communication dans un congrès hal-03264261v1
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Bayesian neural network unit priors and generalized Weibull-tail property

Mariia Vladimirova , Julyan Arbel , Stéphane Girard

ACML 2021 - 13th Asian Conference on Machine Learning, Nov 2021, Virtual, Unknown Region. pp.1-16, ⟨10.48550/arXiv.2110.02885⟩

Communication dans un congrès hal-03368522v1
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Approximating the clusters' prior distribution in Bayesian nonparametric models

Daria Bystrova , Julyan Arbel , Guillaume Kon Kam King , François Deslandes

AABI 2020 - 3rd Symposium on Advances in Approximate Bayesian Inference, Jan 2021, Online, United States. pp.1-16

Communication dans un congrès hal-03151483v1
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Bayesian block-diagonal graphical models via the Fiedler prior

Julyan Arbel , Mario Beraha , Daria Bystrova

SFdS - 52 Journées de Statistique de la Société Francaise de Statistique, Jun 2021, Nice, France. pp.1-6

Communication dans un congrès hal-03275245v1

Approximate Bayesian computation with surrogate posteriors

Julyan Arbel , Florence Forbes , Hien Duy Nguyen , Trungtin Nguyen

ISBA 2021 - World Meeting of the International Society for Bayesian Analysis, Jun 2021, Marseille, France

Communication dans un congrès hal-03337949v1
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Generalized Weibull-tail distributions

Mariia Vladimirova , Julyan Arbel , Stéphane Girard

JDS 2021 - 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2021, Nice, France. pp.1-6

Communication dans un congrès hal-03264446v1
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Dictionary-based Learning in MR Fingerprinting: Statistical Learning versus Deep Learning

Fabien Boux , Florence Forbes , Julyan Arbel , Aurélien Delphin , Thomas Christen et al.

ISMRM 2020 - International Society for Magnetic Resonance in Medicine, Aug 2020, Sidney, Australia. pp.1-4

Communication dans un congrès hal-02922858v1
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Estimation de paramètres IRM en grande dimension via une régression inverse

Fabien Boux , Florence Forbes , Julyan Arbel , Emmanuel Barbier

SFRMBM 2020 - 4e congrés de la Société Française de Résonance Magnétique en Biologie et Médecine, Mar 2020, Strasbourg, France. pp.1

Communication dans un congrès hal-02428679v1
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Understanding Priors in Bayesian Neural Networks at the Unit Level

Mariia Vladimirova , Jakob Verbeek , Pablo Mesejo , Julyan Arbel

ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.6458-6467

Communication dans un congrès hal-02177151v1
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Quantitative MRI characterization of brain abnormalities in de novo Parkinsonian patients

Verónica Muñoz Ramírez , Florence Forbes , Julyan Arbel , Alexis Arnaud , Michel Dojat

ISBI 2019 - IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. pp.1-4, ⟨10.1109/ISBI.2019.8759544⟩

Communication dans un congrès hal-01970682v2

Dependence properties and Bayesian inference for asymmetric multivariate copulas

Marta Crispino , Stéphane Girard , Julyan Arbel

CMStatistics 2019 - 12th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2019, London, United Kingdom

Communication dans un congrès hal-02413948v1
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Dictionary learning via regression: vascular MRI application

Fabien Boux , Florence Forbes , Julyan Arbel , Emmanuel Barbier

CNIV 2019 - 3e Congrès National d’Imagerie du Vivant, Feb 2019, Paris, France. pp.1-12

Communication dans un congrès hal-02428647v1
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Bayesian Nonparametric Priors for Hidden Markov Random Fields

Hongliang Lu , Julyan Arbel , Florence Forbes

50e Journées de la Statistique de la SFdS, May 2018, Saclay, France. pp.1-5

Communication dans un congrès hal-01941638v1

Non parametric Bayesian priors for hidden Markov random fields: application to image segmentation

Florence Forbes , Hongliang Lu , Julyan Arbel

BNPSI 2018 : Workshop on Bayesian non parametrics for signal and image processing, Jul 2018, Bordeaux, France

Communication dans un congrès hal-01941687v1
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Bayesian neural networks become heavier-tailed with depth

Mariia Vladimirova , Julyan Arbel , Pablo Mesejo

NeurIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Dec 2018, Montréal, Canada. pp.1-7

Communication dans un congrès hal-01950658v1

Some distributional properties of Bayesian neural networks

Julyan Arbel

Workshop on Bayesian nonparametrics, Jul 2018, Bordeaux, France

Communication dans un congrès hal-01950667v1

A Bayesian Nonparametric Approach to Ecological Risk Assessment

Julyan Arbel , Guillaume Kon Kam King , Igor Prünster

SMPGD 2018 - Workshop on Statistical Methods for Post Genomic Data, Jan 2018, Montpellier, France

Communication dans un congrès hal-01950669v1
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Bayesian neural network priors at the level of units

Mariia Vladimirova , Julyan Arbel , Pablo Mesejo

AABI 2018 - 1st Symposium on Advances in Approximate Bayesian Inference, Dec 2018, Montréal, Canada. pp.1-6

Communication dans un congrès hal-01950659v1
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Non parametric Bayesian priors for hidden Markov random fields

Florence Forbes , Hongliang Lu , Julyan Arbel

JSM 2018 - Joint Statistical Meeting, Jul 2018, Vancouver, Canada. pp.1-38

Communication dans un congrès hal-01941679v1
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Dictionary-Free MR Fingerprinting Parameter Estimation Via Inverse Regression

Fabien Boux , Florence Forbes , Julyan Arbel , Emmanuel L. Barbier

Joint Annual Meeting ISMRM-ESMRMB 2018, Jun 2018, Paris, France. pp.1-2

Communication dans un congrès hal-01941630v1

Introduction to Bayesian nonparametric statistics

Julyan Arbel

Séminaire de Statistique au sommet de Rochebrune, Mar 2018, Megève, France

Communication dans un congrès hal-01950668v1

Bayesian nonparametric mixture models and clustering

Julyan Arbel

Workshop 'New challenges in statistics for social sciences', Oct 2017, Venise, Italy

Communication dans un congrès hal-01667755v1

Approximating predictive probabilities of Gibbs-type priors

Julyan Arbel

ERCIM - 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2017, London, United Kingdom

Communication dans un congrès hal-01667746v1
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Les écoles d'astrostatistique " Statistics for Astrophysics

Julyan Arbel , Didier Fraix-Burnet , Stéphane Girard

CFIES 2017 - 5ème Colloque Francophone International sur l’Enseignement de la Statistique, Sep 2017, Grenoble, France

Communication dans un congrès hal-01583854v1

Bayesian nonparametric clustering

Julyan Arbel

School of Statistics for Astrophysics: Bayesian methodology, Oct 2017, Autrans, France

Communication dans un congrès hal-01667760v1

Probabilités de découverte d'espèces: Bayes à la rescousse de Good & Turing

Julyan Arbel

Journées Scientifiques d'Inria, Jun 2017, Sophia Antipolis, France

Communication dans un congrès hal-01667788v1

Investigating predictive probabilities of Gibbs-type priors

Julyan Arbel

Mathematical Methods of Modern Statistics, Jul 2017, Marseille, France

Communication dans un congrès hal-01667765v1

Bayesian nonparametric inference for discovery probabilities

Julyan Arbel

YES VIII Workshop on Uncertainty Quantification, Jan 2017, Eindhoven, Netherlands

Communication dans un congrès hal-01667794v1
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Sequential Quasi Monte Carlo for Dirichlet Process Mixture Models

Julyan Arbel , Jean-Bernard Salomond

NIPS - Conference on Neural Information Processing Systems, Dec 2016, Barcelone, Spain

Communication dans un congrès hal-01405568v1

Truncation error of a superposed gamma process in a decreasing order representation

Julyan Arbel

NIPS Meeting, Dec 2016, Barcelone, Spain

Communication dans un congrès hal-01667804v1
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On diversity under a Bayesian nonparametric dependent model

Julyan Arbel , Kerrie L. Mengersen , Judith Rousseau

XLVII Meeting of the Italian Statistical Society, Italian Statistical Society, Jun 2014, Cagliari, Italy

Communication dans un congrès hal-01203340v1
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Bayesian mixture models (in)consistency for the number of clusters

Louise Alamichel , Daria Bystrova , Julyan Arbel , Guillaume Kon Kam King

13th Bayesian nonparametrics (BNP) conference, Oct 2022, Puerto Varas, Chile.

Poster de conférence hal-03866441v1
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A Local Version of R to Improve MCMC Convergence Diagnostic

Théo Moins , Julyan Arbel , Stéphane Girard , Anne Dutfoy

BAYSM 2022 - Bayesian Young Statisticians Meeting, Jun 2022, Montréal, Canada

Poster de conférence hal-03765339v1
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A Local Version of R-hat to Improve MCMC Convergence Diagnostic

Théo Moins , Julyan Arbel , Stéphane Girard , Anne Dutfoy

ISBA 2022 - World Meeting of the International Society for Bayesian Analysis, Jun 2022, Montréal, Canada. pp.1-1

Poster de conférence hal-03765331v1
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Improving MCMC convergence diagnostic: a local version of R-hat

Théo Moins , Julyan Arbel , Stéphane Girard , Anne Dutfoy

BayesComp-ISBA workshop: Measuring the quality of MCMC output, Oct 2021, online, France

Poster de conférence hal-03372736v1

Bayesian Nonparametric Priors for Graph Structured Data: Application to Image Segmentation

Hongliang Lu , Florence Forbes , Julyan Arbel

Bayes Comp 2020, Jan 2020, Gainesville, United States

Poster de conférence hal-02423642v1
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Bayesian Nonparametric Mixtures Why and How?

Julyan Arbel

IFSS 2018 - 2nd Italian-French Statistics Seminar, Sep 2018, Grenoble, France

Poster de conférence hal-01950664v1
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DATASAFE: understanding Data Accidents for TrAffic SAFEty Acknowledgments

Aleksandra Malkova , Julyan Arbel , Maria Laura Delle Monache

Bayesian learning theory for complex data modelling Workshop, Sep 2018, Grenoble, France. pp.1

Poster de conférence hal-01950663v1
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Bayesian Nonparametric Priors for Hidden Markov Random Fields: Application to Image Segmentation

Hongliang Lu , Julyan Arbel , Florence Forbes

IFSS 2018 - 2nd Italian-French Statistics Seminar, Sep 2018, Grenoble, France. pp.1

Poster de conférence hal-01950666v1
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Beta and Dirichlet sub-Gaussianity

Olivier Marchal , Julyan Arbel

Bayesian learning theory for complex data modelling Workshop, Sep 2018, Grenoble, France

Poster de conférence hal-01950665v1
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Chinese restaurant process from stick-breaking for Pitman-Yor

Caroline Lawless , Julyan Arbel

Bayesian learning theory for complex data modelling Workshop, Sep 2018, Grenoble, France. pp.1

Poster de conférence hal-01950662v1
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Bayesian neural network priors at the level of units

Mariia Vladimirova , Julyan Arbel , Pablo Mesejo

Bayesian Statistics in the Big Data Era, Nov 2018, Marseille, France. pp.1

Poster de conférence hal-01950660v1
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Sequential Quasi Monte Carlo for Dirichlet Process Mixture Models

Julyan Arbel , Jean-Bernard Salomond

BNP 2017 - 11th Conference on Bayesian NonParametrics, Jun 2017, Paris, France. , pp.1

Poster de conférence hal-01667781v1
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Unsupervised classification in high dimension

Didier Fraix-Burnet , Charles Bouveyron , Stéphane Girard , Julyan Arbel

European Week of Astronomy and Space Science (EWASS 2017), Jun 2017, Prague, Czech Republic. , 2017

Poster de conférence hal-01569733v1
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Applications in Industry

Kerrie K. Mengersen , Earl Duncan , Julyan Arbel , Clair Alston-Knox , Nicole White

Sylvia Fruhwirth-Schnatter; Gilles Celeux; Christian P. Robert. Handbook of mixture analysis, CRC press, pp.1-21, 2019, 9781498763813

Chapitre d'ouvrage hal-01963798v1
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Clustering Milky Way's Globulars: a Bayesian Nonparametric Approach

Julyan Arbel

Statistics for Astrophysics: Bayesian Methodology, EDP Sciences, pp.113-137, 2018

Chapitre d'ouvrage hal-01950656v1
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A Bayesian nonparametric approach to ecological risk assessment

Guillaume Kon Kam King , Julyan Arbel , Igor Prünster

Argiento, R.; Lanzarone, E.; Antoniano Villalobos, I.; Mattei, A. Bayesian Statistics in Action, 194, , pp.151--159, 2017, Bayesian Statistics in Action

Chapitre d'ouvrage hal-01405593v1
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Truncation error of a superposed gamma process in a decreasing order representation

Julyan Arbel , Igor Prünster

Argiento, R.; Lanzarone, E.; Antoniano Villalobos, I.; Mattei, A. Bayesian Statistics in Action, 194, Springer; Cham, pp.11--19, 2017, Bayesian Statistics in Action, ⟨10.1007/978-3-319-54084-9_2⟩

Chapitre d'ouvrage hal-01405580v1
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Bayesian Survival Model based on Moment Characterization

Julyan Arbel , Antonio Lijoi , Bernardo Nipoti

Sylvia Frühwirth-Schnatter, Angela Bitto, Gregor Kastner, Alexandra Posekany. Bayesian Statistics from Methods to Models and Applications, 126, , pp.3-14, 2015, Springer Proceedings in Mathematics & Statistics, 978-3-319-16238-6. ⟨10.1007/978-3-319-16238-6_1⟩

Chapitre d'ouvrage hal-01203321v1
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A variational framework for modal estimation

Tâm Le Minh , Julyan Arbel , Florence Forbes , Hien Duy Nguyen

2026

Pré-publication, Document de travail hal-04878086v2
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Natural Variational Annealing for Multimodal Optimization

Tâm Le Minh , Julyan Arbel , Thomas Möllenhoff , Mohammad Emtiyaz Khan , Florence Forbes

2025

Pré-publication, Document de travail hal-04875210v2
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Optimal sub-Gaussian variance proxy for 3-mass distributions

Soufiane Atouani , Olivier Marchal , Julyan Arbel

2025

Pré-publication, Document de travail hal-05303191v1
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Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits

Julien Zhou , Pierre Gaillard , Thibaud Rahier , Houssam Zenati , Julyan Arbel

2024

Pré-publication, Document de travail (preprint/prepublication) hal-04470568v3

Hybrids of Constraint-based and Noise-based Algorithms for Causal Discovery from Time Series

Charles K. Assaad , Daria Bystrova , Julyan Arbel , Emilie Devijver , Eric Gaussier et al.

2023

Pré-publication, Document de travail hal-04500481v1
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Cold Posteriors through PAC-Bayes

Konstantinos Pitas , Julyan Arbel

2022

Pré-publication, Document de travail hal-03791457v1
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Latent factor models: a tool for dimension reduction in joint species distribution models

Daria Bystrova , Giovanni Poggiato , Julyan Arbel , Wilfried Thuiller

2021

Pré-publication, Document de travail hal-03149452v1
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Contributed comment on Article by Hahn, Murray, and Carvalho

Daria Bystrova , Julyan Arbel , Thibaud Rahier

2021

Pré-publication, Document de travail hal-03149459v1
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Bayesian neural networks increasingly sparsify their units with depth

Mariia Vladimirova , Julyan Arbel , Pablo Mesejo

2018

Pré-publication, Document de travail hal-01950657v1
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Comment on Article by Wade and Ghahramani

Julyan Arbel , Riccardo Corradin , Michal Lewandowski

2018

Pré-publication, Document de travail hal-01950655v1
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Contributions to Bayesian nonparametric statistic

Julyan Arbel

General Mathematics [math.GM]. Université Paris Dauphine - Paris IX, 2013. English. ⟨NNT : 2013PA090066⟩

Thèse tel-01067718v1
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Bayesian Statistical Learning and Applications

Julyan Arbel

Methodology [stat.ME]. Université grenoble Alpes, CNRS, Institut des Géosciences et de l'Environnement, 2019

HDR tel-02429156v1