95 citations · 155 across the 23 of their papers we have counts for
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cs.LG2022★ 1 cited
Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm
Berlin Chen, Cyrus Mostajeran, Salem Said
We present a novel algorithm for learning the parameters of hidden Markov models (HMMs) in a geometric setting where the observations take values in Riemannian manifolds. In partic…
math.ST2022★ 10 cited
Riemannian statistics meets random matrix theory: towards learning from high-dimensional covariance matrices
Salem Said, Simon Heuveline, Cyrus Mostajeran
Riemannian Gaussian distributions were initially introduced as basic building blocks for learning models which aim to capture the intrinsic structure of statistical populations of…