Dataset · Hugging Face

vimarsh/icml26332-fullbatch-results

Name: icml26332-fullbatch-results
Creator: vimarsh
License: mit
Keywords: license:mit, arxiv:2602.02431, region:us, icml2026-repro, single-index-models, gradient-descent, theory-reproduction

Reproduction results — "Full-Batch Gradient Descent Outperforms One-Pass SGD" (ICML 2026 #26332) Raw and aggregated results for an independent reproduction of arXiv:2602.02431 / OpenReview QItZDBVCT0. All numbers were produced locally on 2x NVIDIA RTX 4000 Ada with the scripts in the reproduction logbook (scripts/sim.py, scripts/sweep_spherical.py, scripts/sweep_online_sgd.py, scripts/sweep_squared_gd.py, scripts/spectral_audit.py, scripts/thm32_bound.py). file contents… See the full description on the dataset page: https://huggingface.co/datasets/vimarsh/icml26332-fullbatch-results.

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Author / organization	vimarsh
License (as declared)	mit
Downloads	250 (as reported by Hugging Face)
Likes	0
Created	26 July 2026
Last updated at source	26 July 2026

icml2026-reprosingle-index-modelsgradient-descenttheory-reproduction

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