Benchmarking Optimizers for MLPs in Tabular Deep Learning
Researchers benchmarked multiple optimizers on tabular datasets using MLP backbones, finding that Muon consistently outperforms the industry-standard AdamW optimizer. The study suggests practitioners should consider Muon as a practical alternative despite potential training efficiency trade-offs.
MentionsAdamW · Muon · MLP
Read full story at arXiv cs.LG →(arxiv.org)
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