26 results on '"De Castro, Yohann"'
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2. Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems
3. Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains
4. Neural Networks beyond explainability: Selective inference for sequence motifs
5. Multiple testing and variable selection along the path of the least angle regression
6. Towards Off-the-Grid Algorithms for Total Variation Regularized Inverse Problems
7. Markov random geometric graph, MRGG: A growth model for temporal dynamic networks
8. Dual optimal design and the Christoffel–Darboux polynomial
9. Adaptive estimation of nonparametric geometric graphs
10. Testing Gaussian process with applications to super-resolution
11. Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction
12. Approximate optimal designs for multivariate polynomial regression
13. Sparse recovery from extreme eigenvalues deviation inequalities
14. Power of the spacing test for least-angle regression
15. A rice method proof of the null-space property over the Grassmannian
16. Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models
17. Adapting to unknown noise level in sparse deconvolution
18. Exact Solutions to Super Resolution on Semi-Algebraic Domains in Higher Dimensions
19. Non-uniform spline recovery from small degree polynomial approximation
20. Spike detection from inaccurate samplings
21. Randomized pick-freeze for sparse Sobol indices estimation in high dimension
22. Optimal Designs for Lasso and Dantzig Selector Using Expander Codes
23. Estimating the transition matrix of a Markov chain observed at random times
24. A remark on the lasso and the Dantzig selector
25. Exact reconstruction using Beurling minimal extrapolation
26. Quantitative Isoperimetric Inequalities on the Real Line
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