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Oscar Hernan Madrid Padilla

Dense ReLU Neural Networks for Temporal-spatial Model

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Nov 15, 2024
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Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory

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Nov 01, 2024
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Network two-sample test for block models

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Jun 10, 2024
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kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection

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Feb 02, 2024
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Temporal-spatial model via Trend Filtering

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Sep 13, 2023
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Kernel Biclustering algorithm in Hilbert Spaces

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Aug 07, 2022
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Variance estimation in graphs with the fused lasso

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Jul 26, 2022
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Sequential Learning of the Topological Ordering for the Linear Non-Gaussian Acyclic Model with Parametric Noise

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Feb 03, 2022
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Lattice partition recovery with dyadic CART

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May 27, 2021
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Optimal network online change point localisation

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Jan 14, 2021
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