no code implementations • NeurIPS 2021 • Junjie Ma, Ji Xu, Arian Maleki
We consider an inverse problem $\mathbf{y}= f(\mathbf{Ax})$, where $\mathbf{x}\in\mathbb{R}^n$ is the signal of interest, $\mathbf{A}$ is the sensing matrix, $f$ is a nonlinear function and $\mathbf{y} \in \mathbb{R}^m$ is the measurement vector.
no code implementations • NeurIPS 2021 • Junjie Ma, Ji Xu, Arian Maleki
We define a notion for the spikiness of the spectrum of $\mathbf{A}$ and show the importance of this measure in the performance of the EP.
no code implementations • ICML 2018 • Junjie Ma, Ji Xu, Arian Maleki
We consider an $\ell_2$-regularized non-convex optimization problem for recovering signals from their noisy phaseless observations.