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01/31/2023
Semi-Supervised Classification with Graph Convolutional Kernel Machines
We present a deep Graph Convolutional Kernel Machine (GCKM) for semi-sup...
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06/12/2020
Disentangled Representation Learning and Generation with Manifold Optimization
Disentanglement is an enjoyable property in representation learning whic...
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04/23/2020
Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond
Random features is one of the most sought-after research topics in stati...
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09/26/2018
Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions
Hyper-kernels endowed by hyper-Reproducing Kernel Hilbert Space (hyper-R...
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11/20/2017
