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math.OC2026
Stronger Lower Bounds for (Non-)Anytime Acceleration of Gradient Descent
Minchan Jung, Hanseul Cho, Chulhee Yun
The rate-optimal convergence rate of gradient descent (GD) with a fixed step-size is well known to be for -Lipschitz smooth convex objectives in the prior art in con…
cs.LG2026
Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws
Zhiwei Xu, Shihao Wu, Hanseul Cho +2
Classical scaling laws for language model pretraining balance model size against training dataset size under a fixed compute budget, assuming abundant data and a single pass over t…