Questions tagged [kernel-mean-embedding]

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Kernel Mean Embedding relationship to regular kernel functions

I am struggling to understand kernel mean embeddings and how it relates to typical kernel functions. Review of Kernel Basics: Basically, a kernel function maps points (or vectors) from one feature ...
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Maximum Mean Discrepancy Implementation

I am just beginning to learn about MMD as a way to measure the difference between two probability distributions using this tutorial. I want to implement it code-wise but I don't understand it ...
3
votes
1answer
290 views

Earth Movers Distance and Maximum Mean Discrepency

By Kantorovich-Rubinstein duality the Earth Movers Distance (EMD)/Wasserstein Metric is equivalent to Maximum Mean Discrepancy (MMD) correct? See here for a more thorough explanation. Why then does ...