Sharper bounds for regularized data fitting
- Haim Avron
- Kenneth L. Clarkson
- et al.
- 2017
- APPROX/RANDOM 2017
My older Papers and Talks.
My work has mainly been on geometric algorithms, and in particular on algorithms that have provable properties, but are relatively simple. Randomization is quite useful for this, whether via the Vapnik-Chervonenkis dimension, or using the general framework I introduced here; see also work recognized here, and a (somewhat dated) survey on randomized geometric algorithms.
I've also worked on randomized numerical linear algebra, for example work recognized here
My data structure for nearest neighbor searching (named SB after Sam * and Becky *): please see here
Sadly, I have not managed to:
And finally: sometimes we must bite the bull by the horns.
This page not under construction.