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Shao-Bo Lin

Wenzhou University

14

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31

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Nystr\"{o}m Regularization for Time Series Forecasting

2021 arXiv: Learning
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Learning Through Deterministic Assignment of Hidden Parameters

2020 IEEE TRANSACTIONS ON CYBERNETICS
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Distributed Learning with Dependent Samples

2020 arXiv: Learning
- Shao-Bo Lin
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Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization

2020 arXiv: Learning
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Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization.

2020 IEEE Transactions on Pattern Analysis and Machine Intelligence
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Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms

2020 arXiv: Learning
- Xiangyu Chang
- Shao-Bo Lin
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Distributed Kernel Ridge Regression with Communications

2020 Journal of Machine Learning Research
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Random Sketching for Neural Networks With ReLU

2020 IEEE Transactions on Neural Networks
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Distributed Kernel Ridge Regression with Communications.

2020 arXiv: Learning
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Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping.

2020 arXiv: Learning
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