LSRTR-M integrates Muon updates into the LSRTR algorithm for tensor GLMs, achieving faster convergence, lower estimation errors on synthetic linear/logistic/Poisson models, and competitive performance with better efficiency on Vessel MNIST 3D classification.
De Lathauwer, Decompositions of a higher-order tensor in block terms—part II: Definitions and uniqueness, SIAM Journal on Matrix Analysis and Applications 30 (3) (2008) 1033–1066
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A Muon-Accelerated Algorithm for Low Separation Rank Tensor Generalized Linear Models
LSRTR-M integrates Muon updates into the LSRTR algorithm for tensor GLMs, achieving faster convergence, lower estimation errors on synthetic linear/logistic/Poisson models, and competitive performance with better efficiency on Vessel MNIST 3D classification.