4 papers · 1 filter
Stable Phase Retrieval: Optimal Rates in Poisson and Heavy-tailed Models
Gao Huang, Song Li, Deanna Needell
We investigate stable recovery guarantees for phase retrieval under two realistic and challenging noise models: the Poisson model and the heavy-tailed model. Our analysis covers bo…
Convergence of the alternating least squares algorithm for CP tensor decompositions
Nicholas Hu, Mark A. Iwen, Deanna Needell +1
The alternating least squares (ALS/AltLS) method is a widely used algorithm for computing the CP decomposition of a tensor. However, its convergence theory is still incompletely un…
Manifold Learning with Normalizing Flows: Towards Regularity, Expressivity and Iso-Riemannian Geometry
Willem Diepeveen, Deanna Needell
Modern machine learning increasingly leverages the insight that high-dimensional data often lie near low-dimensional, non-linear manifolds, an idea known as the manifold hypothesis…
Curvature Corrected Nonnegative Manifold Data Factorization
Joyce Chew, Willem Diepeveen, Deanna Needell
Data with underlying nonlinear structure are collected across numerous application domains, necessitating new data processing and analysis methods adapted to nonlinear domain struc…