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polak-ribiere-polyak

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Apostolis-Greece / Conjugate-Gradient-Optimizers-Python-Package

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A python package that extends PyTorch by providing Conjugate Gradient optimization algorithms.

pytorch hager-zhang conjugate-gradient-optimization dai-yuan fletcher-reeves polak-ribiere-polyak hestenes-stiefel conjugate-descent liu-storey inexact-line-search hybrid-hs-dy backtracking-line-search armijo-condition strong-wolfe-condition weak-wolfe-condition goldstein-condition
  • Updated Apr 25, 2025
  • Python

mahnoorsheikh16 / Optimizing-Binary-Classification-Problem

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A comparative optimization study of logistic regression for fake news detection, evaluating gradient descent, conjugate gradient, Newton, and L-BFGS methods on large-scale TF-IDF text features for convergence behavior, runtime, and memory efficiency.

optimization logistic-regression binary-classification conjugate-gradient-descent kaggle-dataset l-bfgs quasi-newton newton-method fake-news-classification tf-idf-vectorizer convergence-analysis fletcher-reeves polak-ribiere-polyak welfake-dataset
  • Updated Jan 16, 2026
  • Jupyter Notebook

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