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Shao-Bo Lin

Component-based Sketching for Deep ReLU Nets

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Sep 21, 2024
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Lepskii Principle for Distributed Kernel Ridge Regression

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Sep 08, 2024
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Integral Operator Approaches for Scattered Data Fitting on Spheres

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Jan 31, 2024
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Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data

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Jan 16, 2024
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Adaptive Parameter Selection for Kernel Ridge Regression

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Dec 10, 2023
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Lifting the Veil: Unlocking the Power of Depth in Q-learning

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Oct 27, 2023
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Distributed Uncertainty Quantification of Kernel Interpolation on Spheres

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Oct 25, 2023
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Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos

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Sep 08, 2023
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Optimal Approximation and Learning Rates for Deep Convolutional Neural Networks

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Aug 07, 2023
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Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and Learning

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Jul 30, 2023
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