activity
20132025
most citedRule Covering for Interpretation and Boosting

4 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Guided Data Generation for Understanding Model Behavior

Eren Mehmet Kıral, Nurşen Aydın, Ş. İlker Birbil

We propose a method for generating distributions over the input space as an inspection tool for understanding trained models. Our framework poses questions of the form ``which inpu…

math.OC2021

Differentially Private Linear Optimization for Multi-Party Resource Sharing

Utku Karaca, Nursen Aydin, Sinan Yildirim +1

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…

math.OC2021

Masking Primal and Dual Models for Data Privacy in Network Revenue Management

Utku Karaca, S. Ilker Birbil, Nursen Aydin +1

We study a collaborative revenue management problem where multiple decentralized parties agree to share some of their capacities. This collaboration is performed by constructing a…

cs.LG2020★ 4 cited

Rule Covering for Interpretation and Boosting

S. Ilker Birbil, Mert Edali, Birol Yuceoglu

We propose two algorithms for interpretation and boosting of tree-based ensemble methods. Both algorithms make use of mathematical programming models that are constructed with a se…

cs.DB2013★ 4 cited

Trade-offs Computing Minimum Hub Cover toward Optimized Graph Query Processing

Belma Yelbay, S. Ilker Birbil, Kerem Bulbul +1

As techniques for graph query processing mature, the need for optimization is increasingly becoming an imperative. Indices are one of the key ingredients toward efficient query pro…