Kernel distribution embeddings

Simon-GabrielCarl-Johann, SchölkopfBernhard · Journal of Machine Learning Research · 2018

Kernel mean embeddings have become a popular tool in machine learning. They map probability measures to functions in a reproducing kernel Hilbert space. The distance between two mapped measures def...

Read the paper · More papers on PaperTik