2 papers
cs.LG2026
ARO: A New Lens On Matrix Optimization For Large Models
Wenbo Gong, Javier Zazo, Qijun Luo +3
Matrix-based optimizers have attracted growing interest for improving LLM training efficiency, with significant progress centered on orthogonalization/whitening based methods. Whil…
stat.CO2015
ABC for climate: dealing with expensive simulators
Philip B. Holden, Neil R. Edwards, James Hensman +1
This paper is due to appear as a chapter of the forthcoming Handbook of Approximate Bayesian Computation (ABC) by S. Sisson, L. Fan, and M. Beaumont. We describe the challenge of c…