3 papers
stat.ML2025
On Spectral Learning for Odeco Tensors: Perturbation, Initialization, and Algorithms
Arnab Auddy, Ming Yuan
We study spectral learning for orthogonally decomposable (odeco) tensors, emphasizing the interplay between statistical limits, optimization geometry, and initialization. Unlike ma…
math.ST2024
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
Arnab Auddy, Dong Xia, Ming Yuan
Large amount of multidimensional data represented by multiway arrays or tensors are prevalent in modern applications across various fields such as chemometrics, genomics, physics,…
stat.ME2023
Multiple Testing of Linear Forms for Noisy Matrix Completion
Wanteng Ma, Lilun Du, Dong Xia +1
Many important tasks of large-scale recommender systems can be naturally cast as testing multiple linear forms for noisy matrix completion. These problems, however, present unique…