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20142026
most citedSimple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization

8 citations · 17 across the 18 of their papers we have counts for

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2 papers · 1 filter

math.PR2026

Uniform Sampling from High-dimensional Spectral Norm Balls

Michael R. Metel

Motivated by an application in machine learning optimization, this paper focuses on the challenges of sampling a matrix uniformly from the unit spectral norm ball. It is proven tha…

cs.AI2026

Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models

Michael R. Metel, Yufei Cui, Boxing Chen +1

Sequential test-time scaling is a promising training-free method to improve large reasoning model accuracy, but as currently implemented, significant limitations have been observed…