Ş. İlker Birbil

Differentially Private Linear Optimization for Multi-Party Resource Sharing

2021 · arXiv (Cornell University)

This study examines a resource-sharing problem involving multiple parties that agree to use a set of capacities together. We start with modeling the whole problem as a mathematical program, where all parties are required to …

Rule Generation for Classification: Scalability, Interpretability, and Fairness

2021 · arXiv (Cornell University)

We introduce a new rule-based optimization method for classification with constraints. The proposed method leverages column generation for linear programming, and hence, is scalable to large datasets. The resulting pricing subproblem is shown to be …

Finding Regions of Counterfactual Explanations via Robust Optimization

2023 · arXiv (Cornell University)

Counterfactual explanations play an important role in detecting bias and improving the explainability of data-driven classification models. A counterfactual explanation (CE) is a minimal perturbed data point for which the decision of the model changes. …