# A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization with Applications

arXiv: https://arxiv.org/abs/1912.04456 · HTML: https://mlsanity.com/paper/1912.04456/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Dec 2019.

## Built on by (most cited first, 4 of 4)

- [A Differential Geometric View and Explainability of GNN on Evolving Graphs](https://mlsanity.com/paper/2403.06425/) (2024)
- [Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning](https://mlsanity.com/paper/2111.14761/) (2021)
- [A Novel Fast Exact Subproblem Solver for Stochastic Quasi-Newton Cubic Regularized Optimization](https://mlsanity.com/paper/2204.09116/) (2022)
- [A Stochastic Quasi-Newton Method for Non-convex Optimization with Non-uniform Smoothness](https://mlsanity.com/paper/2403.15244/) (2024)

## Abstract (arXiv)

This paper proposes a novel stochastic version of damped and regularized BFGS method for addressing the above problems.