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Dive into the research topics where Yohann DeCastro is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Minimax estimation of partially-observed vector autoregressions
Dalle, G. & De Castro, Y., 1 Jan 2025, In: Electronic Journal of Statistics. 19, 1, p. 2364-2410 47 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Exact recovery of the support of piecewise constant images via total variation regularization
De Castro, Y., Duval, V. & Petit, R., 1 Oct 2024, In: Inverse Problems. 40, 10, 105012.Research output: Contribution to journal › Article › peer-review
Open Access -
Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains
Duchemin, Q., DE CASTRO, Y. & Lacour, C., 1 Jan 2023, In: Bernoulli. 29, 2, p. 929-956 28 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Neural Networks beyond explainability: Selective inference for sequence motifs
Villié, A., Veber, P., De Castro, Y. & Jacob, L., 1 Jan 2023, In: Transactions on Machine Learning Research. 2023Research output: Contribution to journal › Article › peer-review
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Random Geometric Graph: Some Recent Developments and Perspectives
Duchemin, Q. & De Castro, Y., 1 Jan 2023, Progress in Probability. Birkhauser, p. 347-392 46 p. (Progress in Probability; vol. 80).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Open Access -
Towards Off-the-Grid Algorithms for Total Variation Regularized Inverse Problems
De Castro, Y., Duval, V. & Petit, R., 1 Jan 2023, In: Journal of Mathematical Imaging and Vision. 65, 1, p. 53-81 29 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Markov random geometric graph, MRGG: A growth model for temporal dynamic networks∗
Duchemin, Q. & De Castro, Y., 1 Jan 2022, In: Electronic Journal of Statistics. 16, 1, p. 671-699 29 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Multiple testing and variable selection along the path of the least angle regression
Azaïs, J. M. & de Castro, Y., 1 Dec 2022, In: Information and Inference. 11, 4, p. 1329-1388 60 p.Research output: Contribution to journal › Article › peer-review
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Three Rates of Convergence or Separation via U-Statistics in a Dependent Framework
Duchemin, Q., De Castro, Y. & Lacour, C., 1 Jun 2022, In: Journal of Machine Learning Research. 23, 201.Research output: Contribution to journal › Article › peer-review
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Dual optimal design and the Christoffel–Darboux polynomial
De Castro, Y., Gamboa, F., Henrion, D. & Lasserre, J. B., 1 Feb 2021, In: Optimization Letters. 15, 1, p. 3-8 6 p.Research output: Contribution to journal › Article › peer-review
Open Access