2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.IT2024
Rectangular Rotational Invariant Estimator for High-Rank Matrix Estimation
Farzad Pourkamali, Nicolas Macris
We consider estimating a matrix from noisy observations coming from an arbitrary additive bi-rotational invariant perturbation. We propose an estimator which is optimal among the c…
cs.IT2023★ 1 cited
Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors
Farzad Pourkamali, Nicolas Macris
We consider a statistical model for matrix factorization in a regime where the rank of the two hidden matrix factors grows linearly with their dimension and their product is corrup…
cs.IT2023★ 2 cited
Rectangular Rotational Invariant Estimator for General Additive Noise Matrices
Farzad Pourkamali, Nicolas Macris
We propose a rectangular rotational invariant estimator to recover a real matrix from noisy matrix observations coming from an arbitrary additive rotational invariant perturbation,…