Poster "optimizer design" Papers

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Gradient Multi-Normalization for Efficient LLM Training

Meyer Scetbon, Chao Ma, Wenbo Gong et al.

NeurIPS 2025poster
3
citations

Scaling Exponents Across Parameterizations and Optimizers

Katie Everett, Lechao Xiao, Mitchell Wortsman et al.

ICML 2024poster

Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise

Kwangjun Ahn, Zhiyu Zhang, Yunbum Kook et al.

ICML 2024poster