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Oral
Tue Jun 11 02:00 PM -- 02:20 PM (PDT) @ Room 101
Towards a Unified Analysis of Random Fourier Features
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Video]
Oral
Tue Jun 11 02:20 PM -- 02:25 PM (PDT) @ Room 101
Learning deep kernels for exponential family densities
Oral
Tue Jun 11 02:25 PM -- 02:30 PM (PDT) @ Room 101
Bayesian Deconditional Kernel Mean Embeddings
Oral
Tue Jun 11 02:30 PM -- 02:35 PM (PDT) @ Room 101
A Kernel Perspective for Regularizing Deep Neural Networks
Oral
Tue Jun 11 02:35 PM -- 02:40 PM (PDT) @ Room 101
A Persistent Weisfeiler--Lehman Procedure for Graph Classification
Oral
Tue Jun 11 02:40 PM -- 03:00 PM (PDT) @ Room 101
Rehashing Kernel Evaluation in High Dimensions
Oral
Tue Jun 11 03:00 PM -- 03:05 PM (PDT) @ Room 101
Large-Scale Sparse Kernel Canonical Correlation Analysis
Oral
Tue Jun 11 03:05 PM -- 03:10 PM (PDT) @ Room 101
A Kernel Theory of Modern Data Augmentation
Oral
Tue Jun 11 03:10 PM -- 03:15 PM (PDT) @ Room 101
kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection
Oral
Tue Jun 11 03:15 PM -- 03:20 PM (PDT) @ Room 101
Scalable Learning in Reproducing Kernel Krein Spaces