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Shuche Wang

2 accepted papers

2026

Muon Outperforms Adam in Tail-End Associative Memory Learning

ICLR 2026poster

The Muon optimizer is consistently faster than Adam in training Large Language Models (LLMs), yet the mechanism underlying its success remains unclear. This paper demystifies this mechanism through the lens of associative memory. By ablating the transformer components optimized by Muon, we reveal th…

Cited by 0SourceScholar
2025

Parameter-free Algorithms for the Stochastically Extended Adversarial Model

NeurIPS 2025poster

We develop the first parameter-free algorithms for the Stochastically Extended Adversarial (SEA) model, a framework that bridges adversarial and stochastic online convex optimization. Existing approaches for the SEA model require prior knowledge of problem-specific parameters, such as the diameter o…

Cited by 0SourceScholar