Weiszfeld’s Method: Old and New Results

By Amir Beck, Shoham Sabach. 2014

133 citations recorded by the source corpus.

Subfields: Computational Mechanics, Mathematical Physics, Numerical Analysis

How researchers see this paper

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

In Computational Mechanics

1. Nicholas G. Polson
2. Sham M. Kakade
3. Zaïd Harchaoui
4. James G. Scott
5. Krishna Pillutla
6. Brandon T. Willard
7. Zeyuan Allen-Zhu
8. Prateek Jain

In Mathematical Physics

1. Sham M. Kakade
2. James G. Scott
3. Krishna Pillutla
4. Zaïd Harchaoui
5. Nicholas G. Polson
6. Brandon T. Willard

In Numerical Analysis

1. Sham M. Kakade
2. James G. Scott
3. Krishna Pillutla
4. Zaïd Harchaoui
5. Nicholas G. Polson
6. Brandon T. Willard

Citations in the corpus

• Robust Aggregation for Federated Learning (2019, methodology): “Weiszfeld’s algorithm [85] to compute the geometric median, has received much attention [11, 49, 83].”
• Proximal Algorithms in Statistics and Machine Learning (2015, methodology): “Beck and Sabach [2013] provide a historical perspective on iterative shrinkage algorithms by mainly focusing on Weiszfeld [1937] algorithm.”