47 citations · 189 across the 27 of their papers we have counts for
7 papers · 1 filter
Randomized Learning of the Second-Moment Matrix of a Smooth Function
Armin Eftekhari, Michael B. Wakin, Ping Li +1
Consider an open set , equipped with a probability measure . An important characteristic of a smooth function $f:\mathbb{D}\rightarrow\mathbb{R}…
Weighted Matrix Completion and Recovery with Prior Subspace Information
Armin Eftekhari, Dehui Yang, Michael B. Wakin
An incoherent low-rank matrix can be efficiently reconstructed after observing a few of its entries at random, and then solving a convex program that minimizes the nuclear norm. In…
Streaming Principal Component Analysis From Incomplete Data
Armin Eftekhari, Gregory Ongie, Laura Balzano +1
Linear subspace models are pervasive in computational sciences and particularly used for large datasets which are often incomplete due to privacy issues or sampling constraints. Th…
What to Expect When You Are Expecting on the Grassmannian
Armin Eftekhari, Laura Balzano, Michael B. Wakin
Consider an incoming sequence of vectors, all belonging to an unknown subspace , and each with many missing entries. In order to estimate , it i…
Stabilizing Embedology: Geometry-Preserving Delay-Coordinate Maps
Armin Eftekhari, Han Lun Yap, Michael B. Wakin +1
Delay-coordinate mapping is an effective and widely used technique for reconstructing and analyzing the dynamics of a nonlinear system based on time-series outputs. The efficacy of…
MC^2: A Two-Phase Algorithm for Leveraged Matrix Completion
Armin Eftekhari, Michael B. Wakin, Rachel A. Ward
Leverage scores, loosely speaking, reflect the importance of the rows and columns of a matrix. Ideally, given the leverage scores of a rank- matrix ,…