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eess.SP2021
Minimax Estimation of Partially-Observed Vector AutoRegressions
Guillaume Dalle, Yohann de Castro
High-dimensional time series are a core ingredient of the statistical modeling toolkit, for which numerous estimation methods are known.But when observations are scarce or corrupte…
eess.SP2021★ 6 cited
Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems
Yohann de Castro, Vincent Duval, Romain Petit
We introduce an algorithm to solve linear inverse problems regularized with the total (gradient) variation in a gridless manner. Contrary to most existing methods, that produce an…