René's URL Explorer Experiment


Title: Yohann De Castro — Professor at Institut Camille Jordan

Open Graph Title: Yohann De Castro — Professor at Institut Camille Jordan

X Title: Yohann De Castro — Professor at Institut Camille Jordan

Description: Professional homepage of Yohann De Castro, Full Professor at Institut Camille Jordan (École Centrale Lyon) and Junior Member of Institut Universitaire de France. Research in statistics, machine learning, optimization, and inverse problems.

Open Graph Description: Full Professor at Institut Camille Jordan (École Centrale Lyon); Junior Member of Institut Universitaire de France. Research in statistics, machine learning, optimization, and inverse problems.

X Description: Full Professor at Institut Camille Jordan (École Centrale Lyon); Junior Member of Institut Universitaire de France. Research in statistics, machine learning, optimization, and inverse problems.

Mail addresses
yohann.de-castro@ec-lyon.fr

Opengraph URL: https://ydecastro.github.io/

direct link

Domain: ydecastro.github.io

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Links:

Skip to main contenthttps://ydecastro.github.io/#main
Yohann De Castro — Professor at ICJhttps://ydecastro.github.io/index.html
Dark Mode https://ydecastro.github.io/
Google Scholarhttps://scholar.google.fr/citations?user=3Rdlxg4AAAAJ
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Orcidhttps://orcid.org/0000-0002-9008-7474
Node Regression on Latent Position Random Graphs via Local Averaginghttps://ydecastro.github.io/research/paper42.pdf
arXivhttps://arxiv.org/abs/2410.21987
JMLRhttps://www.jmlr.org/papers/v27/24-1819.html
Geometry of level sets of random fields: Kac-Rice formulas, Hermite expansions and applicationshttps://ydecastro.github.io/research/book1.pdf
PDFhttps://ydecastro.github.io/research/book1.pdf
Springerhttps://link.springer.com/book/9783032291431
Non-asymptotic Tail Bounds for the Kostlan–Shub–Smale Field: Tensor PCA and Spherical k-Spin Complexityhttps://ydecastro.github.io/research/paper47.pdf
Codehttps://github.com/ydecastro/TENSOR-KSS
arXivhttps://arxiv.org/abs/2606.17665
Effective regions and kernels in continuous sparse regularizationhttps://ydecastro.github.io/research/paper44.pdf
arXivhttps://arxiv.org/abs/2507.08444
Time series forecasting from partial observations via Non-negative Matrix Factorizationhttps://ydecastro.github.io/research/paper31.pdf
arXivhttps://arxiv.org/abs/2102.05314
Fast Spawn&Prune (FS&P): Global convergence of stochastic conic particle gradient descent via birth/death processhttps://ydecastro.github.io/research/paper46.pdf
Codehttps://github.com/ydecastro/Fast-Spawn-Prune
arXivhttps://arxiv.org/abs/2605.19784
Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problemshttps://ydecastro.github.io/research/paper41.pdf
arXivhttps://arxiv.org/abs/2407.17200
Gaussian random field's anisotropy using excursion setshttps://ydecastro.github.io/research/paper45.pdf
Codehttps://github.com/ydecastro/COMETE-Contour-method-Gaussian-Random-Fields/
Second Maximum of a Gaussian Random Field and Exact (t-)Spacing testhttps://ydecastro.github.io/research/paper40.pdf
OCKHAM Teamhttps://team.inria.fr/ockham/team-members/
https://link.springer.com/book/9783032291431
PDFhttps://ydecastro.github.io/research/book1.pdf
Springerhttps://link.springer.com/book/9783032291431
DOIhttps://doi.org/10.1007/978-3-032-29143-1
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PDFhttps://ydecastro.github.io/research/paper47.pdf
Codehttps://github.com/ydecastro/TENSOR-KSS
arXivhttps://arxiv.org/abs/2606.17665
PDFhttps://ydecastro.github.io/research/paper46.pdf
Codehttps://github.com/ydecastro/Fast-Spawn-Prune
arXivhttps://arxiv.org/abs/2605.19784
PDFhttps://ydecastro.github.io/research/paper45.pdf
Codehttps://github.com/ydecastro/COMETE-Contour-method-Gaussian-Random-Fields/
arXivhttps://arxiv.org/abs/2512.11085
PDFhttps://ydecastro.github.io/research/paper40.pdf
Codehttps://github.com/ydecastro/tensor-spacing
arXivhttps://arxiv.org/abs/2406.18397
PDFhttps://ydecastro.github.io/research/paper43.pdf
arXivhttps://arxiv.org/abs/2509.12889
Zenodohttps://doi.org/10.5281/zenodo.16942355
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IOPhttps://doi.org/10.1088/1361-6420/ad75b1
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PDFhttps://ydecastro.github.io/research/paper37.pdf
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Euclidhttps://doi.org/10.1214/25-ejs2387
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arXivhttps://arxiv.org/abs/2006.07001
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arXivhttps://arxiv.org/abs/2011.11435
Euclidhttps://doi.org/10.3150/22-bej1485
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arXivhttps://arxiv.org/abs/2102.05314
PDFhttps://ydecastro.github.io/research/paper21.pdf
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Elsevierhttps://doi.org/10.1016/j.acha.2018.07.001
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PMLRhttps://proceedings.neurips.cc/paper_files/paper/2019/file/c4414e538a5475ec0244673b7f2f7dbb-Paper.pdf
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SIAMhttps://doi.org/10.1137/18m1200750
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Euclidhttps://doi.org/10.1214/18-aos1683
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IEEEhttps://doi.org/10.1109/TKDE.2018.2839678
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PMLRhttps://proceedings.mlr.press/v70/mei17a.html
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arXivhttps://arxiv.org/abs/1503.05093
Euclidhttps://doi.org/10.3150/16-bej885
PDFhttps://ydecastro.github.io/research/paper13.pdf
Codehttps://ydecastro.github.io/total-variation-sum-of-squares/
arXivhttps://arxiv.org/abs/1502.02436
IEEEhttps://doi.org/10.1109/TIT.2016.2619368
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OUPhttps://doi.org/10.1093/imaiai/iaw024
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JMLRhttps://jmlr.org/papers/v17/15-381.html
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arXivhttps://arxiv.org/abs/1402.5662
Elsevierhttps://doi.org/10.1016/j.jmaa.2015.05.034
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arXivhttps://arxiv.org/abs/1301.5873
Elsevierhttps://doi.org/10.1016/j.acha.2014.03.004
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IEEEhttps://doi.org/10.1109/tit.2014.2353995
PDFhttps://ydecastro.github.io/research/paper4.pdf
arXivhttps://arxiv.org/abs/1103.4951
Elsevierhttps://doi.org/10.1016/j.jmaa.2012.05.011
Romane GIARDhttps://rgiard.pages.math.cnrs.fr/
Martin GJORGJEVSKIhttps://mgjorgje.owlstown.net/
Guillaume DALLEhttps://gdalle.github.io/
Quentin DUCHEMINhttps://quentin-duchemin.alwaysdata.net/
Romain PETIThttps://rpetit.github.io/
Gaël POUXhttps://gaelpouxmedard.github.io/
Nicolas JOUVINhttps://nicolasjouvin.github.io/
Luca MENCARELLIhttps://luca-mencarelli.github.io/
machine-learning-centrale.github.iohttps://machine-learning-centrale.github.io
statistical-learning-centrale.github.iohttps://statistical-learning-centrale.github.io
Institut Universitaire de France (IUF)https://www.iufrance.fr/
Institut Camille Jordanhttps://math.univ-lyon1.fr/
CERMICShttps://cermics-lab.enpc.fr/
Habilitation (H.D.R)https://ydecastro.github.io/research/hdr.pdf
Institut de Mathématique d'Orsayhttps://www.math.u-psud.fr/
Ph.D. Thesishttps://ydecastro.github.io/research/thesis.pdf
Institut de Mathématiques de Toulousehttps://www.math.univ-toulouse.fr/
École Normale Supérieurehttps://www.ens.fr/
LinkedIn Profilehttps://www.linkedin.com/in/yohanndecastro/
Locate on Maphttps://drive.google.com/open?id=1vdY9bHQP9or9NOJrJFK2WfeYo-qvcObR&usp=sharing
Homehttps://ydecastro.github.io/#header
Bookshttps://ydecastro.github.io/#books-section
Researchhttps://ydecastro.github.io/#publications-section
PhD Students & Post-Docshttps://ydecastro.github.io/#supervision
Teachinghttps://ydecastro.github.io/#teaching
Vitaehttps://ydecastro.github.io/#vitae
Contacthttps://ydecastro.github.io/#contact
HTML5 UPhttps://html5up.net

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