Yohann De Castro
Yohann De Castro
Centrale Lyon - Institut Camille Jordan
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Exact reconstruction using Beurling minimal extrapolation
Y De Castro, F Gamboa
Journal of Mathematical Analysis and Applications 395 (1), 336–354, 2012
1542012
Spike detection from inaccurate samplings
JM Azaïs, Y De Castro, F Gamboa
Applied and Computational Harmonic Analysis 38 (2), 177–195, 2015
1292015
Exact solutions to super resolution on semi-algebraic domains in higher dimensions
Y De Castro, F Gamboa, D Henrion, JB Lasserre
IEEE Transactions on Information Theory 63 (1), 621-630, 2016
632016
On representer theorems and convex regularization
C Boyer, A Chambolle, YD Castro, V Duval, F De Gournay, P Weiss
SIAM Journal on Optimization 29 (2), 1260-1281, 2019
452019
Approximate optimal designs for multivariate polynomial regression
Y De Castro, F Gamboa, D Henrion, R Hess, JB Lasserre
The Annals of Statistics 47 (1), 127-155, 2019
292019
Minimax adaptive estimation of nonparametric hidden Markov models
Y De Castro, É Gassiat, C Lacour
The Journal of Machine Learning Research 17 (1), 3842-3884, 2016
272016
Consistent estimation of the filtering and marginal smoothing distributions in nonparametric hidden Markov models
Y De Castro, E Gassiat, S Le Corff
IEEE Transactions on Information Theory 63 (8), 4758-4777, 2017
242017
Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates
J Mei, Y De Castro, Y Goude, G Hébrail
Proceedings of the 34th International Conference on Machine Learning, 2017
23*2017
A Remark on the Lasso and the Dantzig Selector
Y De Castro
Statistics and Probability Letters 83 (1), 304–314, 2013
232013
Nonnegative matrix factorization with side information for time series recovery and prediction
J Mei, Y De Castro, Y Goude, JM Azaïs, G Hébrail
IEEE Transactions on Knowledge and Data Engineering 31 (3), 493-506, 2018
172018
Adaptive estimation of nonparametric geometric graphs
Y De Castro, C Lacour, TMP Ngoc
Mathematical Statistics and Learning 2 (3), 217-274, 2020
15*2020
Non-uniform spline recovery from small degree polynomial approximation
Y De Castro, G Mijoule
Journal of Mathematical Analysis and applications 430 (2), 971-992, 2015
132015
Estimating the transition matrix of a Markov chain observed at random times
F Barsotti, Y De Castro, T Espinasse, P Rochet
Statistics & Probability Letters 94, 98-105, 2014
112014
Latent Distance Estimation for Random Geometric Graphs
E Araya Valdivia, Y De Castro
NeurIPS 2019, 2019
10*2019
Adapting to unknown noise level in sparse deconvolution
C Boyer, Y De Castro, J Salmon
Information and Inference: A Journal of the IMA 6 (3), 310-348, 2017
102017
A Rice method proof of the Null-Space Property over the Grassmannian
JM Azaïs, Y De Castro, S Mourareau
Annales de l'Institut Henri Poincaré (série B), 2017
82017
Quantitative Isoperimetric Inequalities on the Real Line
Y De Castro
Annales mathématiques Blaise Pascal 18, 251-271, 2011
82011
Power of the spacing test for least-angle regression
JM Azaïs, Y De Castro, S Mourareau
Bernoulli 24 (1), 465-492, 2018
62018
Optimal designs for Lasso and Dantzig selector using Expander Codes
Y De Castro
IEEE Transactions on Information Theory 60 (11), 7293 - 7299, 2014
6*2014
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks
Y De Castro, Q Duchemin
arXiv preprint arXiv:2006.07001, 2020
42020
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Articles 1–20