For best experience please turn on javascript and use a modern browser!
You are using a browser that is no longer supported by Microsoft. Please upgrade your browser. The site may not present itself correctly if you continue browsing.
Prof. dr. S.I. (Ilker) Birbil
Professor of AI & Optimization Techniques for Business & Society
Birbil, S. I., Yildirim, S., Gökalp, K., & Akyuz, M. H. (2022). Learning with Subset Stacking. Manuscript submitted for publication.
Dekker, R., Koot, P., Birbil, S. I., & van Embden Andres, M. (2022). Co-designing Algorithms for Governance: Ensuring Responsible and Accountable Algorithmic Management of Refugee Camp Supplies. Big Data & Society, 9(1), 1-15. https://doi.org/10.1177/20539517221087855[details]
Julien, E., Postek, K., & Birbil, S. I. (2022). Machine Learning for K-adaptability in Two-Stage Robust Optimization. Manuscript submitted for publication.
Karaca, U., Birbil, S. I., Aydin, N., & Mullaoglu, G. (2022). Masking Primal and Dual Models for Data Privacy in Network Revenue Management. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2022.11.025
Karaca, U., Birbil, S. I., Yildirim, S., Aydin, N., & Mullaoglu, G. (2022). Differential Privacy in Multi-Party Resource Sharing. Manuscript submitted for publication.
Kuru, N., Birbil, S. I., Gurbuzbalaban, M., & Yildirim, S. (2022). Differentially Private Accelerated Optimization Algorithms. SIAM Journal on Optimization, 32(2), 795-821. https://doi.org/10.1137/20M1355847
Lumadjeng, A. C., Röber, T. E., Akyuz, H., & Birbil, S. I. (2022). Rule Generation for Classification: Scalability, Interpretability, and Fairness. Manuscript submitted for publication.
Maragno, D., Röber, T. E., & Birbil, S. İ. (2022). Counterfactual Explanations Using Optimization With Constraint Learning. In OPT2022: Optimization for Machine Learning. Accepted papers OPT-ML. https://doi.org/10.48550/arXiv.2209.10997[details]
Birbil, S. . (2021). Optimisation for and with Machine Learning (OPTIMAL). https://optimal.uva.nl
Talk / presentation
Birbil, S. . (keynote speaker) (28-4-2022). IPD2022: Innovative Product Development International Conference, Kasetsart University. https://easychair.org/cfp/IPD2022
Birbil, S. . (invited speaker) (12-4-2022). Data Science in Finance Conference - 2022, ABN AMRO. https://dsfc.nl/schedule-2022/
Birbil, S. . (keynote speaker) (7-3-2022). 12th Annual International Conference on Industrial Engineering and Operations Management, Kadir Has University, Istanbul, Turkey.. https://ieomsociety.org/istanbul2022/
Birbil, S. . (speaker) (24-6-2021). Yapay Öğrenmede Yorumlanabilirlik, Sabanci University - Academy of Science: Machine Learning Summer School 2021. https://www.youtube.com/watch?v=83HHZ5INDx0
Birbil, S. . (speaker) (11-1-2021). Rule Generation for Learning and Interpretation, Machine Learning NeEDS Mathematical Optimization. https://www.youtube.com/watch?v=ekcQEYd9C88
Others
Birbil, S. . (organiser), Romero Morales, D. (organiser), Rudin, C. (organiser), Fokkema, D. (organiser) & Akyuz, H. (participant) (17-10-2022 - 21-10-2022). Making Sense of Interpretable Machine Learning, Leiden (organising a conference, workshop, ...).
Birbil, S. . (examiner) (7-9-2022). Molding the Symbiosis Between Human and Machine (examination).
Birbil, S. . (examiner) (6-4-2022). Numerical Optimal Control of Open Channel Networks (examination).
Birbil, S. . (organiser) & Martin, O. (organiser) (26-3-2022 - 27-3-2022). Stochastic Optimization for Large-Scale Machine Learning, Istanbul (organising a conference, workshop, ...).
Birbil, S. . (chair) (24-3-2022). EURO WISDOM Forum YoungWomen4OR Talks: Data Science and Optimization Webinar (participating in a conference, workshop, ...).
Fajemisin, A. (participant), Maragno, D. (participant), den Hertog, D. (participant) & Birbil, S. . (participant) (22-2-2022 - 1-3-2022). 36th AAAI conference on Artificial Intelligence, Vancouver. Delivering two papers at the AI for Decision Optimization (AI4DO) workshop (participating in a conference, workshop, ...).
Fajemisin, A. O., Maragno, D., den Hertog, D., Birbil, S. I., Wiberg, H., & Bertsimas, D. (2021). Mixed-Integer Optimization with Constraint Learning. (Operations Research).
The UvA uses cookies to ensure the basic functionality of the site and for statistical and optimisation purposes. Cookies are also placed to display third-party content and for marketing purposes. Click 'Accept all cookies' to consent to the placement of all cookies, or choose 'Decline' to only accept functional and analytical cookies. Also read the UvA Privacy statement.