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4:15 pm

Kernel approaches in global statistical distances, local measure detection, and active learning

February 5 @ 4:15 pm - 5:15 pm

In this talk, we'll discuss the problem of constructing meaningful distances between probability distributions given only finite samples from each distribution.  We approach this through the use of data-adaptive and localized kernels, and in a variety of contexts.  First, we construct locally adaptive kernels to define fast pairwise distances between distributions, with applications to unsupervised […]

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