All Questions
Tagged with wasserstein-metric total-variational-distance
1 question
8
votes
2
answers
4k
views
Why is KL divergence used so often in Machine Learning?
The KL Divergence is quite easy to compute in closed form for simple distributions -such as Gaussians- but has some not-very-nice properties. For example, it is not symmetrical (thus it is not a ...
- 967