MMD / Kernel methods

[Matthijspals]

• Intuitive description, of what these metrics try to measure, and how, and for what they are used
• Thorough description of the metric in supplementary
• Common variants and hyper parameters choices
• Scaling with dimensionality
• Scaling with number of samples
• Computational complexity
• Induced geometry
• Failure modes