2021
On Linear Identifiability of Learned Representations
ICML 2021spotlight
Identifiability is a desirable property of a statistical model: it implies that the true model parameters may be estimated to any desired precision, given sufficient computational resources and data. We study identifiability in the context of representation learning: discovering nonlinear data repre…