Questions tagged [kernel-mean-embedding]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
1
vote
1answer
23 views
0
votes
0answers
18 views

Can I customize the kernel function?

I want to know whether I can customize the kernel function? For example, the polynomial kernel is defined as: $$ K(x,y) = (x^Ty+c)^d $$ Could I modify it to the following: $$ K(x,y) = (||x-y||_2)^d $$ ...
4
votes
1answer
412 views

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 ...
2
votes
0answers
603 views

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 ...
5
votes
1answer
964 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 ...