Parameter Estimation for Generalized Low-Rank Matrix Sensing by Learning on Riemannian Manifolds.

Published in: CoRR (2024)

Keyphrases

parameter estimation
model selection
maximum likelihood
learning tasks
learning algorithm
least squares
markov random field
em algorithm
data sets
reinforcement learning
dimensionality reduction
low rank
low rank matrix