31784d9fc1fa0d25d04eae50ac9bf787-Paper.pdf
–Neural Information Processing Systems
Indeedin learning applications, where symmetric tensors areformed from statistical moments (higher-order covariances) or multivariate derivatives (higher-order Hessians), CP decomposition has enabled parameter estimation for mixtures of Gaussians [20, 35], generalized linear models [34], shallow neuralnetworks[19,24,42],deepernetworks[17,18,30],hiddenMarkovmodels[5],amongothers.
Neural Information Processing Systems
Feb-8-2026, 03:26:56 GMT