Principal Bit Analysis: Autoencoding with Schur-Concave LossDownload PDFOpen Website

2021 (modified: 08 Oct 2021)ICML 2021Readers: Everyone
Abstract: We consider a linear autoencoder in which the latent variables are quantized, or corrupted by noise, and the constraint is Schur-concave in the set of latent variances. Although finding the optimal...
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