Energy distance

By Maria L. Rizzo, G'abor J. Sz'ekely. 2016

287 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. R´emi Munos
2. Will Dabney
3. Gilles Mordant
4. Johan Segers
5. Marc Hallin

In Statistics and Probability

1. Shakir Mohamed
2. Balaji Lakshminarayanan
3. R´emi Munos
4. Will Dabney
5. Gilles Mordant
6. Johan Segers
7. Marc G. Bellemare
8. Marc Hallin

Citations in the corpus

• The Cramer Distance as a Solution to Biased Wasserstein Gradients (2017, methodology): “As a replacement we propose the Cramér distance (Székely, 2002; Rizzo and Székely, 2016), also known as the continuous ranked probability score in the probabilistic forecasting literature (Gneiting and Raftery, 2007).”
• Multivariate goodness-of-fit tests based on Wasserstein distance (2020, methodology): “(1983), Henze and Zirkler (1990) and Rizzo and Székely (2016) as benchmarks.”
• Black-box model classification under the discriminative factorization (2026, unknown): “To capture the dissimilarity between models, for a multiset of queries Q ⊆ m Q we define where d 2 P is a metric of negative type on P 1 ( R p ) (such as the energy distance [37, 31]). d 2 Q is then a negative type metric on P 1 ( R p ) m [33].”