Research

On-device research index

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.

168,657 papers · 148 categories

Trend · papers per month

count % of corpus

1 result for “GSLLN”

Revisiting Stochastic Approximation and Stochastic Gradient Descentmath.OC

New approach proves convergence of SA and SGD with weaker conditions.

problem Proving convergence of SA and SGD with relaxed noise conditions.

method Introduces GSLLN to decouple function and noise properties.

result Derives sufficient conditions for convergence of SA and SGD.

Stochastic Approximation Stochastic Gradient Descent GSLLN Convergence Noise Conditions

2025-05-16abs ↗pdf ↗