Author

Saman Babaie-Kafaki

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#machine learning Preprint Sep 2026

A family of spectral conjugate gradient algorithms derived by least-squares approximations based on a modified quasi--Newton update with application to a revised robust binary classification model

We develop a spectral three-term modification of the classic Hestenes--Stiefel conjugate gradient algorithm, preserving its anti-jamming characteristic and, simultaneously, taking care of the sufficient descent property. We discuss how a modified secant equation can be extracted from our modification scheme, yielding a...

Saman Babaie-Kafaki, Maryam Khoshsimaye-Bargard, Ahmad Mousavi · 0 citations

Preprint Jun 2026

An Approximate Conjugate Subgradient Algorithm with Matrix Parameter for Derivative-Free Nonsmooth Optimization Problems

Numerical experiments on nonsmooth test problems with dimensions up to 1000 show that both proposed variants are robust for lower and medium accuracy requirements, while the matrix conjugate-subgradient variant remains the most reliable under the strictest tolerance.

M. Kimiaei, Saman Babaie--Kafaki, Z. Aminifard · 0 citations