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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,694 papers · 148 categories

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1 result for “p-BCM”

Stochastic Weakly Convex Optimization Under Heavy-Tailed Noisesmath.OC

Paper analyzes convergence of stochastic methods under heavy-tailed noise.

problem Analyzing convergence of stochastic methods under heavy-tailed noise.

method Investigates vanilla and clipped stochastic subgradient descent methods.

result Demonstrates convergence properties under sub-Weibull and p-BCM noise assumptions.

Stochastic Optimization Weakly Convex Heavy-Tailed Noise Sub-Weibull p-BCM

2025-07-17abs ↗pdf ↗