3 papers
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…
math.PR2025
Note on an intermediate Baum-Katz theorems under sub-linear expectations
Xu Mingzhou, Yang Jinjin
We study the Hsu-Robbins-Erdös theorem to the case when all moments under sub-linear expectations exist, but the moment generating function does not, viz, we suppose that $C_{\math…