Dec 12, 2019
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- KerGM: Kernelized Graph Matching - Wasserstein Weisfeiler-Lehman Graph Kernels - Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel - Comparing distributions: ℓ1 geometry improves kernel two-sample testing- KerGM: Kernelized Graph Matching - Wasserstein Weisfeiler-Lehman Graph Kernels - Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel - Comparing distributions: ℓ1 geometry improves kernel two-sample testing…
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Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.
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