Yohann De Castro
Yohann De Castro
Institut Camille Jordan & Institut Universitaire de France (IUF)
Verified email at - Homepage
Cited by
Cited by
Exact reconstruction using Beurling minimal extrapolation
Y De Castro, F Gamboa
Journal of Mathematical Analysis and Applications 395 (1), 336–354, 2012
Spike detection from inaccurate samplings
JM Azaïs, Y De Castro, F Gamboa
Applied and Computational Harmonic Analysis 38 (2), 177–195, 2015
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
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
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
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
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
Minimax adaptive estimation of nonparametric hidden Markov models
Y De Castro, C Lacour
Journal of Machine Learning Research 17 (111), 1-43, 2016
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
Latent Distance Estimation for Random Geometric Graphs
E Araya Valdivia, Y De Castro
NeurIPS 2019, 2019
A Remark on the Lasso and the Dantzig Selector
Y De Castro
Statistics and Probability Letters 83 (1), 304–314, 2013
Adaptive estimation of nonparametric geometric graphs
Y De Castro, C Lacour, TMP Ngoc
Mathematical Statistics and Learning 2 (3), 217-274, 2020
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
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
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
Towards off-the-grid algorithms for total variation regularized inverse problems
Y De Castro, V Duval, R Petit
arXiv preprint arXiv:2104.06706, 2021
Supermix: sparse regularization for mixture
Y Castro, S Gadat, C Marteau, C Maugis
Annals of Statistics 49 (3), 1779-1809, 2021
Random Geometric Graph: Some recent developments and perspectives
Q Duchemin, Y De Castro
Power of the spacing test for least-angle regression
JM Azaïs, Y De Castro, S Mourareau
Bernoulli 24 (1), 465-492, 2018
Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains
Q Duchemin, Y De Castro, C Lacour
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