GPT-Assisted Paper Proves Gradient Descent Acceleration Limits

A new paper co-authored by Jianhao Ma and Yuxin Chen, with proofs partially assisted by GPT, proves that no gradient descent step-size schedule can fully match Nesterov acceleration. The research also narrows the gap between the upper and lower bounds of accelerated gradients to 0.66.

2026-08-12 ~ 2026-08-12 · 3 related posts

• Paper Proves No Gradient Descent Stepsize Schedule Can Match Nesterov Acceleration — prof_grimmer · 2026-08-12
• Theoretical Limits of Optimization: Gap in Accelerated Gradient Bounds Narrows to 0.66 — prof_grimmer · 2026-08-12
• GPT-Assisted Proof Reveals Theoretical Limits of Gradient Descent Acceleration — prof_grimmer · 2026-08-12