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Adrian Lam
Adrian Lam

91 Followers

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Published in Towards Data Science

·Nov 26, 2020

BFGS in a Nutshell: An Introduction to Quasi-Newton Methods

Demystifying the inner workings of BFGS optimization — Introduction Surely anyone who has dabbled in machine learning is familiar with gradient descent, and possibly even its close counterpart, stochastic gradient descent. If you have more than dabbled, then you’re surely also aware of the fancier extensions like gradient descent with momentum and Adam optimization. Perhaps less well-known are a…

Optimization

17 min read

BFGS in a Nutshell: An Introduction to Quasi-Newton Methods
BFGS in a Nutshell: An Introduction to Quasi-Newton Methods
Optimization

17 min read

Adrian Lam

Adrian Lam

91 Followers

Data scientist, former astrophysics researcher | Brown University

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