Paris-Saclay

Yohann DE CASTRO

Maître de Conférences à l'Université Paris-Sud

LMO UPSud CNRS
Name Yohann De Castro
Mail Laboratoire de Mathématiques d'Orsay,
Univ. Paris-Sud, CNRS,
Université Paris-Saclay
91405 Orsay
France
Phone +33 (0)1 69 15 77 97
Office Room 108 Building 425
Email yohann.decastro (at) math.u-psud.fr

Welcome !

I am Maître de Conférences at Laboratoire de Mathématiques d'Orsay (Univ. Paris-Sud). My main interest lies in Statistics and Probability.

Seminar

I co-organize the weekly seminar of our team, the schedule can be found HERE.

Appointments

Research interests

Extremal moment problem; High-dimensional statistics; Dynamical networks; Random graphs; Random matrices; Concentration inequalities; Model selection; Post-selection inference;


Journal papers

Extremal moment problem
  1. (with C. Boyer & J. Salmon) Adapting to unknown noise level in sparse deconvolution, submitted, 2016.
  2. (with F. Gamboa & D. Henrion & J.-B. Lasserre) Exact solutions to Super Resolution on semi-algebraic domains in higher dimensions, submitted, 2015.
  3. (with G. Mijoule) Non-uniform spline recovery from small degree polynomial approximation, Journal of Mathematical Analysis and Applications, Volume 430, Issue 2, 15 October 2015, Pages 971–992.
  4. (with J.-M. Azaïs & F. Gamboa) Spike Detection from Inaccurate Samplings, Applied and Computational Harmonic Analysis, Volume 38, Issue 2, March 2015, Pages 177–195.
  5. (with F. Gamboa) Exact Reconstruction using Beurling Minimal Extrapolation, Journal of Mathematical Analysis and Applications, Volume 395, Issue 1, 1 November 2012, Pages 336-354.
High-dimensional Statistics
  1. (with S. Dallaporta) Restricted Isometry Constants for Gaussian and Rademacher matrices, submitted, 2016.
  2. (with J.-M. Azaïs & S. Mourareau) Power of the Spacing test for Least-Angle Regression, Bernoulli, 2016.
  3. (with J.-M. Azaïs & S. Mourareau) A Rice method proof of the Null-Space Property over the Grassmannian, Annales de l’Institut Henri Poincaré, Probabilités et Statistiques, 2016.
  4. (with A. Janon) Randomized pick-freeze for sparse Sobol indices estimation in high dimension, ESAIM P&S, Volume 19, 2015, Pages 725-745.
  5. Optimal designs for Lasso and Dantzig selector using Expander Codes, IEEE Transactions on Information Theory, Volume 60, Issue 11, Nov. 2014, Pages 7293-7299.
  6. A remark on the lasso and the Dantzig selector, Statistics & Probability Letters, Volume 83, Issue 1, January 2013, Pages 304-314.
Dynamical networks
  1. (with T. Espinasse & P. Rochet) Reconstructing undirected graphs from eigenspaces, submitted, 2016.
  2. (with É. Gassiat & S. Le Corff) Consistent estimation of the filtering and marginal smoothing distributions in nonparametric hidden Markov models, IEEE Transactions on Information Theory (minor revision).
  3. (with É. Gassiat & C. Lacour) Minimax adaptive estimation of non-parametric Hidden Markov Models, Journal of Machine Learning Research, 2016, Mathematica note book.
  4. (with F. Barsotti, T. Espinasse & P. Rochet) Estimating the transition matrix of a Markov chain observed at random times, Statistics & Probability Letters, Volume 94, November 2014, Pages 98-105.
Isoperimetric Inequalities
  1. Quantitative Isoperimetric Inequalities on the Real Line, Annales Mathématiques Blaise Pascal, Volume 18 n°2 (2011), Pages 311-331.

The complete list of my preprints can be found on HAL.


Talks and Lectures

Recently

Ante

Année universitaire 2015/2016

  • Cours et TDs de "Mise à Niveau en Mathématiques" pour les M1 BIBS, les notes de cours, les TPs et les TDs sont à disposition ICI.

Ante

  • Statistique en M1 Mathématiques Fondamentales et Appliquées,
  • Statistique en M1 Bioinformatique et Biostatistiques,
  • Statistique en M2 Pro Ingénierie,
  • Probabilités en L3 Mathématiques,
  • Probabilités et Statistique en M1 "Biologie et Informatique",
  • Probabilités et Statistique en L2 Biologie,
  • Quatre ans colleur en classes préparatoires aux grandes écoles (environ 180h).

Ph.D. students

Jiali MEI (2014-2017);