Egor Dmitriev

Recent Posts

  • Building Boosters: A Gradient Boosting Library from Scratch

    Feb 03, 2026

  • Regularization and Hyperparameter Tuning

    Feb 01, 2026

  • Trees and the Split Gain Formula

    Jan 27, 2026

  • XGBoost vs LightGBM: A Practical Comparison

    Jan 22, 2026

See 12 more →

Tag: optimization

5 items with this tag.

  • Feb 01, 2026

    Regularization and Hyperparameter Tuning

    • machine-learning
    • gradient-boosting
    • hyperparameters
    • optimization
  • Jan 18, 2026

    Exclusive Feature Bundling and Categorical Features

    • machine-learning
    • gradient-boosting
    • algorithms
    • optimization
  • Jan 16, 2026

    Gradient-Based Sampling (GOSS)

    • machine-learning
    • gradient-boosting
    • algorithms
    • optimization
  • Jan 12, 2026

    Histogram-Based Split Finding

    • machine-learning
    • gradient-boosting
    • algorithms
    • optimization
  • Jan 08, 2026

    Functional Gradient Descent

    • machine-learning
    • gradient-boosting
    • algorithms
    • optimization

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