| Exact reconstruction using Beurling minimal extrapolation Y De Castro, F Gamboa Journal of Mathematical Analysis and Applications 395 (1), 336–354, 2012 | 209 | 2012 |
| Spike detection from inaccurate samplings JM Azaïs, Y De Castro, F Gamboa Applied and Computational Harmonic Analysis 38 (2), 177–195, 2015 | 166 | 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 | 109 | 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 | 88 | 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 | 61 | 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 | 48* | 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 | 43 | 2017 |
| Minimax adaptive estimation of nonparametric hidden Markov models Y De Castro, C Lacour Journal of Machine Learning Research 17 (111), 1-43, 2016 | 40 | 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 | 37 | 2018 |
| Latent Distance Estimation for Random Geometric Graphs E Araya Valdivia, Y De Castro NeurIPS 2019, 2019 | 30 | 2019 |
| A Remark on the Lasso and the Dantzig Selector Y De Castro Statistics and Probability Letters 83 (1), 304–314, 2013 | 25 | 2013 |
| Adaptive estimation of nonparametric geometric graphs Y De Castro, C Lacour, TMP Ngoc Mathematical Statistics and Learning 2 (3), 217-274, 2020 | 23 | 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 | 18 | 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 | 14 | 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 | 12 | 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 | 11 | 2021 |
| Supermix: sparse regularization for mixture Y Castro, S Gadat, C Marteau, C Maugis Annals of Statistics 49 (3), 1779-1809, 2021 | 11 | 2021 |
| Random Geometric Graph: Some recent developments and perspectives Q Duchemin, Y De Castro | 11 | 2021 |
| Power of the spacing test for least-angle regression JM Azaïs, Y De Castro, S Mourareau Bernoulli 24 (1), 465-492, 2018 | 10 | 2018 |
| Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains Q Duchemin, Y De Castro, C Lacour | 9 | 2021 |
Fabrice GamboaIMT在 math.univ-toulouse.fr 的电子邮件经过验证
