2022 (v1)
Publication
Orthogonal projections are a standard technique of dimensionality reduction in machine learning applications. We study the problem of approximating orthogonal matrices so that their application is numerically fast and yet accurate. We find an approximation by solving an optimization problem over a set of structured matrices, that we call...
Uploaded on: February 14, 2024