Source authenticated

Lower Bounds for Stepsize-Based Acceleration of Gradient Descent

Recorded as partial: the bound is Omega(T^-1.9319) against an achievable O(T^-1.2716), so it rules out reaching the optimal rate without pinning down the true one.

Exact FrontierDelta

proved→proved

Scope and record

Occurred: Oct 29, 2026

Delta type: REGISTRY REVISION

Assumptions: VibeMathed verification: unreviewed. Publication: preprint. AI contribution: ai-discovered. VibeMathed editorial classifications, scores, notes, relations, and dataset structure are CC BY 4.0. Source statements and linked content retain their own rights.

Canonical aliases: Lower Bounds for Stepsize-Based Acceleration of Gradient Descent · Stepsize acceleration lower bound

Confidence: Not scored

Registry verification: unreviewed · preprint · partial

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Attribution

VibeMathed
registry · event recorded by

GPT-5.6 Sol Pro
model · ai model contributor · OpenAI

Jianhao Ma
human · human collaborator

Yuxin Chen
human · human collaborator

Lineage and corrections

Corrects Lower Bounds for Stepsize-Based Acceleration of Gradient Descent →

Supersedes Lower Bounds for Stepsize-Based Acceleration of Gradient Descent →

This event attributed to Yuxin Chen

This event attributed to Jianhao Ma

Lower Bounds for Stepsize-Based Acceleration of Gradient Descent evidence for this event

VibeMathed record: Lower Bounds for Stepsize-Based Acceleration of Gradient Descent evidence for this event

Recorded as partial: the bound is Omega(T^-1.9319) against an achievable O(T^-1.2716), so it rules out reaching the optimal rate without pinning down the true one. parent of this event

This event attributed to GPT-5.6 Sol Pro

Lower Bounds for Stepsize-Based Acceleration of Gradient Descent parent of this event

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