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Yohann de Castro

ICJ, ECL

Neural Networks beyond explainability: Selective inference for sequence motifs

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Dec 23, 2022
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Minimax Estimation of Partially-Observed Vector AutoRegressions

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Jun 17, 2021
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Towards off-the-grid algorithms for total variation regularized inverse problems

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Apr 14, 2021
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Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF)

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Feb 10, 2021
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Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains, and applications

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Nov 20, 2020
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Markov Random Geometric Graph : A Growth Model for Temporal Dynamic Networks

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Jun 12, 2020
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Sparse Regularization for Mixture Problems

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Jul 23, 2019
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Optimal designs for Lasso and Dantzig selector using Expander Codes

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Jul 22, 2014
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