2 papers
stat.ML2026
The Effect of Training Task Diversity on In-Context Learning through the Lens of Low-Dimensional Subspaces
Soo Min Kwon, Alec S. Xu, Can Yaras +3
The transformer's emergent ability to perform in-context learning (ICL) has sparked a wide range of studies designed to understand its underlying mechanisms. Existing works often s…
cs.LG2026
Scaling Laws of SignSGD in Linear Regression: When Does It Outperform SGD?
Jihwan Kim, Dogyoon Song, Chulhee Yun
We study scaling laws of signSGD under a power-law random features (PLRF) model that accounts for both feature and target decay. We analyze the population risk of a linear model tr…