Jannis Kurtz
@JannisK13
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assistant professor @uva_amsterdam | research in integer (robust) optimization and machine learning | scientific views are my own, all others I read somewhere
Amsterdam, Niederlande
Joined June 2019
I am joining the wave. Also on Bluesky now: @jannisku.bsky.social.
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Our paper on #CounterfactualExplanations for #LinearOptimization Problems is now published and open accessible at European Journal of Operational Research:.
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The Robust Optimization Webinar (#ROW) will be back in September with Season 6. Meanwhile, to properly enjoy the summer, you can watch all presentations of our past speakers on our Youtube channel:. Youtube: Webpage:
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RT @inesschwerdtner: Was wir erleben, ist ein völkerrechtswidriger Angriff der USA im Iran, der eine weitere Eskalation in der Region, noch….
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Join us for the next Robust Optimization Webinar (#ROW), this Friday, May 30, at 15:00 (CET). Speaker 1: Zhao Kang (Eindhoven University of Technology) . Speaker 2: Abbas Khademi (University of Tehran) More information on our webpage:
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#MachineLearning based algorithms are still not able to beat deterministic general purpose solvers for #combinatorial #optimization.
arxiv.org
Machine learning (ML) has demonstrated considerable potential in supporting model design and optimization for combinatorial optimization (CO) problems. However, much of the progress to date has...
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Join us for the next Robust Optimization Webinar (#ROW) this Friday, May 16, at 15:00 (CET). Speaker: Bahar Taskesen (University of Chicago Booth School of Business).Title: Distributionally Robust Linear Quadratic Control. More information on our webpage:
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If you are interested in counterfactual explanations for ML and Optimization, feel free to join my talk next week in the Explainable AI Seminars @ Imperial. I will present our work on #robust #counterfactuals and counterfactuals for #linear #optimization.
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Join us for the Robust Optimization Webinar (#ROW) this Friday, May 2, at 15:00 (CET). Speaker: @Francy_Maggioni (University of Bergamo). Title: Sampling and Bounding Methods for Multistage Robust and Distributionally Robust Optimization
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I am shocked that in times where academic institutions get attacked by the governments, @INFORMS launches a 15 min commercial podcast for Amazon, whose CEO allied with Trump recently. Also, none of the discussed work is public, how does the #orms community benefit from this?.
Check out the latest in our special series of Resoundingly Human podcasts featuring the finalists teams of the 2025 Franz Edelman Award! This interview highlights WM's finalist project.
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Join us for the next Robust Optimization Webinar (#ROW) this Friday, April 4, at 15:00 (CET):. Speaker: Marco C. Campi (University of Brescia).Title: Data-Driven Robust Optimization. More information on our webpage:
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Join us for the next Robust Optimization Webinar (#ROW) this Friday, March 21, at 15:00 (CET). Speaker: Francesco Leofante (Imperial College London) Title: Robustness issues in counterfactual explanations . More information on our webpage:
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Besides the article contains a slightly provocative critique about the "real-world" narrative often used in Operations Research.
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Decisions made by #optimization models in #OperationsResearch are affecting individuals and organizations. In my popular article in the new issue of STAtOR I argue that explanation methods for optimization models are urgently needed:.
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Join us for the next (Junior) Robust Optimization Webinar this Friday, March 7, at 15:00 (CET). Speaker 1: Dorothee Henke (University of Passau). Speaker 2: @beck_yasmine (ESSEC Business School). #ROW . More information on our webpage:
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Join us for the next Robust Optimization Webinar this Friday, February 21 at 15:00 (CET):. Speaker: Eojin Han (University of Notre Dame). Title: Nonlinear Decision Rules Made Scalable by Nonparametric Liftings. #ROW. More information on our webpage:
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