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

Prior state unknown→proved

Scope and record

Occurred: Aug 11, 2026

Delta type: SOURCE CLAIM

Assumptions: VibeMathed verification: unreviewed. Publication: preprint. AI contribution: ai-discovered. Editorial metadata: CC BY 4.0; linked content retains its 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

Jianhao Ma
human · human collaborator

Yuxin Chen
human · human collaborator

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

Lineage and corrections

This event attributed to Jianhao Ma

This event attributed to Yuxin Chen

This event attributed to GPT-5.6 Sol Pro

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

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

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

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Lower Bounds for Stepsize-Based Acceleration of Gradient Descent — Mathematical Frontier Network