2 papers
cs.LG2026
MOONSHOT : A Framework for Multi-Objective Pruning of Vision and Large Language Models
Gabriel Afriat, Xiang Meng, Shibal Ibrahim +2
Weight pruning is a common technique for compressing large neural networks. We focus on the challenging post-training one-shot setting, where a pre-trained model is compressed with…
math.OC2026
Computation of Least Trimmed Squares: A Branch-and-Bound framework with Hyperplane Arrangement Enhancements
Xiang Meng, Andrés Gómez, Rahul Mazumder
We study computational aspects of a key problem in robust statistics -- the penalized least trimmed squares (LTS) regression problem, a robust estimator that mitigates the influenc…