Muon Optimizer Shows Benefit in Nonsmooth Nonconvex Optimization

2026-08-29

New research on arXiv introduces the "Muon with Finite Newton-Schulz" optimizer, demonstrating its effectiveness in nonsmooth nonconvex optimization. The study analyzes Muon's update rule as an online learner, converting its regret bound into a stationarity guarantee.

Source: arXiv · cs.LG

Reported by VERA Newswire.