Autoencoding any Data through Kernel Autoencoders

Pierre Laforgue, Stéphan Clémençon, Florence d'Alché-Buc

Abstract: This paper investigates a novel algorithmic approach to data representation based on kernel methods. Assuming that the observations lie in a Hilbert space X , the introduced Kernel Autoencoder (KAE...