# On the stability of the stochastic gradient Langevin algorithm with dependent data stream

arXiv: https://arxiv.org/abs/2105.01422 · HTML: https://mlsanity.com/paper/2105.01422/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 May 2021.

## Built on by (most cited first, 1 of 1)

- [DC-LA: Difference-of-Convex Langevin Algorithm](https://mlsanity.com/paper/2601.22932/) (2026)

## Abstract (arXiv)

We prove, under mild conditions, that the stochastic gradient Langevin dynamics converges to a limiting law as time tends to infinity, even in the case where the driving data sequence is dependent.