Recovery guarantee of weighted low-rank approximation via alternating minimization

By Tan Θ. 2016

Subfields: Optimization & Training, Numerical Methods & Scientific Computing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Optimization & Training

1. Yuanzhi Li
2. Yingyu Liang
3. Zeyuan Allen-Zhu
4. Andrej Risteski
5. Quanquan Gu
6. Tengyu Ma
7. Greg Yang
8. Zehao Dou

In Numerical Methods & Scientific Computing

1. Yuanzhi Li
2. Andrej Risteski
3. Yingyu Liang

Citations in the corpus

• Recovery guarantee of weighted low-rank approximation via alternating minimization (2016, background): “We demonstrate this by including the proof details for stochastic gradient descent in the full version (Li et al., 2016).”