# Robust Principal Component Analysis: A Construction Error Minimization Perspective

arXiv: https://arxiv.org/abs/2111.12132 · HTML: https://mlsanity.com/paper/2111.12132/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 36 references that are in the map.
- First posted on arXiv 23 Nov 2021.

## Builds on (most cited first, 2 of 2)

- [Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization](https://mlsanity.com/paper/1811.05642/) (2018)
- [Spherical Principal Component Analysis](https://mlsanity.com/paper/1903.06877/) (2019)

## Abstract (arXiv)

In this paper we propose a novel optimization framework to systematically solve robust PCA problem with rigorous theoretical guarantee, based on which we investigate very computationally economic updating algorithms.
