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cs.LG2026
Towards Understanding the Power and Limits of the Muon Optimizer: A River-Valley Perspective
Tianqi Shen, Jinji Yang, Runze Shi +3
Recently, Muon has gained substantial attention as an appealing alternative to Adam-like optimizers, with many works highlighting its advantages through spectral normalization and…
cs.LG2026
Escaping Local Minima Provably in Non-convex Matrix Sensing: A Deterministic Framework via Simulated Lifting
Tianqi Shen, Jinji Yang, Junze He +3
Low-rank matrix sensing is a fundamental yet challenging nonconvex problem whose optimization landscape typically contains numerous spurious local minima, making it difficult for g…