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ASKIT
- Referenced in 11 articles [sw17470]
- library for high-dimensional kernel summations. Kernel-based methods are a powerful tool ... statistics methods. A key bottleneck in these methods is computations involving the kernel matrix, which ... problem size. Previously, we introduced ASKIT (Approximate Skeletonization Kernel Independent Treecode), an efficient, scalable, kernel...
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DR-ABC
- Referenced in 3 articles [sw24742]
- crucially influences the quality of the likelihood approximation and hence also the quality ... novel framework for this task using kernel-based distribution regression. We model the functional relationship ... loss function) of summary statistics using kernel-based distribution regression. We show that our approach ... random Fourier features framework for large-scale kernel learning. In addition to that, our framework...
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AdaRaker
- Referenced in 1 article [sw28403]
- learning in environments with unknown dynamics. Kernel-based methods exhibit well-documented performance in various ... Most of them rely on a preselected kernel, whose prudent choice presumes task-specific prior ... kernels from a prescribed kernel dictionary. Leveraging the random feature approximation and its recent orthogonality...
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Regularization tools
- Referenced in 744 articles [sw00797]
- Regularization Tools: A MATLAB package for Analysis and...
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KernSmooth
- Referenced in 978 articles [sw04586]
- Kernel smoothing refers to a general methodology for...