Mixed Adaptive Random Search (MARS) for Optimization

treemind interprets tree models

Optimization-Based Rule Learning for Classification

Generate robust counterfactual explanations for machine learning models

Simulation study for Differential Privacy in Multi-Party Resource Sharing (Karaca, Aydin, Birbil, Yildirim; 2024)

A Python implementation of the Electromagnetism-like Mechanism for global optimization

Learning with Subset Stacking

Stochastic gradient descent with model building

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

Two algorithms based on linear programming to discover classification rules for interpretable learning.

Rule covering for interpretation and boosting