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Prof. dr. S.I. (Ilker) Birbil

Professor of AI & Optimization Techniques for Business & Society
Faculty of Economics and Business
Section Business Analytics
Visiting address
  • Plantage Muidergracht 12
Postal address
  • Postbus 15953
    1001 NL Amsterdam
Contact details
Social media
  • Publications

    2022

    • 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. I. (2022). Counterfactual Explanations Using Optimization With Constraint Learning. In Advances in Neural Information Processing Systems 36: 14th Annual Workshop on Optimization for Machine Learning Neural Information Processing Systems Foundation. https://doi.org/10.48550/arXiv.2209.10997

    2022

    2021

    • Birbil, S. I. (Author), & Martin, O. (Author). (2021). Stochastic Model Building: SMB. Software, GitHub.
    • Birbil, S. I. (Author). (2021). Learning with Subset Stacking: LESS. Software, GitHub.

    Membership / relevant position

    Talk / presentation

    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, ...).
    • Birbil, S. . (organiser), Postek, K. (organiser) & den Hertog, D. (organiser) (29-9-2021). Machine Learning for Optimization (organising a conference, workshop, ...). https://optimal.uva.nl/content/events/events/2021/09/machine-learning-for-optimization-workshop.html
    • Birbil, S. . (organiser) (20-9-2021). Mathematics for Machine Learning, Izmir (organising a conference, workshop, ...). https://nesinkoyleri.org/events/2021-yapay-ogrenme-icin-matematik/

    2021

    • Fajemisin, A. O., Maragno, D., den Hertog, D., Birbil, S. I., Wiberg, H., & Bertsimas, D. (2021). Mixed-Integer Optimization with Constraint Learning. (Operations Research).
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Ancillary activities
    • D4C - Data Science Consultants
      Academic adviser for technical details of ongoing projects.
    • D4C - Data Science Consultants
      Adviser
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