ワークショップ論文
The Geometry of Spectral Gradient Descent: Layerwise Criteria for SignSGD vs SpecSGD
同等貢献
ICLR 2026 Workshop on Geometry-grounded Representation Learning and Generative Modeling · 2026年2月
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書誌情報
このページは正式な書誌情報と関連リンクをまとめています。概要は原文リンクをご覧ください。
主な情報
- Oral Presentation
- Travel Grant
関連リンク
引用
Hiroki Naganuma, Laura Gomezjurado Gonzalez, Mahdi Ghaznavi, Ioannis Mitliagkas. “The Geometry of Spectral Gradient Descent: Layerwise Criteria for SignSGD vs SpecSGD.” ICLR 2026 Workshop on Geometry-grounded Representation Learning and Generative Modeling, 2026.
@inproceedings{Naganuma2026The,
title = {The Geometry of Spectral Gradient Descent: Layerwise Criteria for SignSGD vs SpecSGD},
author = {Hiroki Naganuma and Laura Gomezjurado Gonzalez and Mahdi Ghaznavi and Ioannis Mitliagkas},
year = {2026},
booktitle = {ICLR 2026 Workshop on Geometry-grounded Representation Learning and Generative Modeling},
url = {https://openreview.net/forum?id=lDs4vkSX7J}
}