Theory of deep convolutional neural networks: Downsampling von Zhou, Ding-Xuan

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Generalization Analysis of CNNs for Classification on Spheres von Feng, Han, Huang, Shuo, Zhou, Ding-Xuan

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Data-Dependent Generalization Bounds for Multi-Class Classification von Lei, Yunwen, Dogan, Urun, Zhou, Ding-Xuan, Kloft, Marius

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Theory of deep convolutional neural networks III: Approximating radial functions von Mao, Tong, Shi, Zhongjie, Zhou, Ding-Xuan

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Approximation of functions from Korobov spaces by shallow neural networks von Liu, Yuqing, Mao, Tong, Zhou, Ding-Xuan

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Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization von Han, Zhi, Yu, Siquan, Lin, Shao-Bo, Zhou, Ding-Xuan

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Distributed kernel gradient descent algorithm for minimum error entropy principle von Hu, Ting, Wu, Qiang, Zhou, Ding-Xuan

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Online Learning Algorithms Can Converge Comparably Fast as Batch Learning von Lin, Junhong, Zhou, Ding-Xuan

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Universal Consistency of Deep Convolutional Neural Networks von Lin, Shao-Bo, Wang, Kaidong, Wang, Yao, Zhou, Ding-Xuan

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Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks von Huang, Shuo, Zhou, Junyu, Feng, Han, Zhou, Ding-Xuan

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Derivative reproducing properties for kernel methods in learning theory von ZHOU, Ding-Xuan

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Unregularized online learning algorithms with general loss functions von Ying, Yiming, Zhou, Ding-Xuan

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Learning theory of distributed spectral algorithms von Guo, Zheng-Chu, Lin, Shao-Bo, Zhou, Ding-Xuan

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Convergence of Gradient Descent for Minimum Error Entropy Principle in Linear Regression von Hu, Ting, Wu, Qiang, Zhou, Ding-Xuan

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Distributed Kernel-Based Gradient Descent Algorithms von Lin, Shao-Bo, Zhou, Ding-Xuan

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Image encryption using exclusive-OR with DNA complementary rules and double random phase encoding von Huo, Dongming, Zhou, Ding-fu, Yuan, Sheng, Yi, Shaoliang, Zhang, Luozhi, Zhou, Xin

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Online Pairwise Learning Algorithms von Ying, Yiming, Zhou, Ding-Xuan

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Realization of Spatial Sparseness by Deep ReLU Nets With Massive Data von Chui, Charles K., Lin, Shao-Bo, Zhang, Bo, Zhou, Ding-Xuan

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Approximation of functions from Korobov spaces by deep convolutional neural networks von Mao, Tong, Zhou, Ding-Xuan

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Approximation of smooth functionals using deep ReLU networks von Song, Linhao, Liu, Ying, Fan, Jun, Zhou, Ding-Xuan

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