Abstract: We consider the problem of approximating a matrix $M$ with a rank-$k$ matrix, when given access to a “noisy’’ version of $M$ perturbed by Gaussian noise. This problem arises in numerous applications, including...
Abstract: We consider the problem of approximating a matrix $M$ with a rank-$k$ matrix, when given access to a “noisy’’ version of $M$ perturbed by Gaussian noise. This problem arises in numerous applications, including...
Throughout 2024, the Fintech for the Common Good interdisciplinary lecture series will host distinguished speakers from the fields of finance, law, and computer science to spur discussion and research collaborations at...
The Product Club meets weekly on Tuesday nights to discuss trends in technology, conduct product thinking seminars, work on case studies, and prep together for Product Management recruitment. All UMass Amherst undergrad/...