Web: http://arxiv.org/abs/2104.14526

June 23, 2022, 1:12 a.m. | Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin Tripp, Yuejie Chi

stat.ML updates on arXiv.org arxiv.org

Tensors, which provide a powerful and flexible model for representing
multi-attribute data and multi-way interactions, play an indispensable role in
modern data science across various fields in science and engineering. A
fundamental task is to faithfully recover the tensor from highly incomplete
measurements in a statistically and computationally efficient manner.
Harnessing the low-rank structure of tensors in the Tucker decomposition, this
paper develops a scaled gradient descent (ScaledGD) algorithm to directly
recover the tensor factors with tailored spectral initializations, and …

arxiv lg scalability scaling tensor

More from arxiv.org / stat.ML updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY