Jannis Kurtz
jannisku.bsky.social
Jannis Kurtz
@jannisku.bsky.social
140 followers 110 following 58 posts
assistant professor at University of Amsterdam | research in integer (robust) optimization and machine learning | scientific views are my own, all others I read somewhere
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We show that for integer problems calculating optimal CEs is Sigma_2^p-hard and provide solution algorithms which are able to solve instances in small dimension.
Essentially a counterfactual question applied to optimization problems asks: what is the minimal change in the problem parameters which would lead to a different but favored optimal solution?
Counterfactual explanations (CE) recently received increasing attention as a tool to provide explanations for the decisions of optimization problems; see e.g. Kurtz et al. (2025).
In our new work we study #counterfactual #explanations for linear #integer #optimization problems:

optimization-online.org/2025/10/coun...

This is joint work with Felix Engelhardt, Ilker Birbil and Ted Ralphs
I think no real mathematician should ever be asked to come up with an application for their math. There should be a human right for this
Reposted by Jannis Kurtz
@jannisku.bsky.social is giving a very interesting talk on explainable (integer) optimization at the @euroorml.bsky.social seminar, highlighting counterfactual explanations before diving on new work with Coherent Local Explanations for Mathematical Optimization (CLEMO): arxiv.org/abs/2502.04840
Meanwhile on LinkedIn: „Academic operations research is useless since papers don’t study what is useful for Amazon“
Reposted by Jannis Kurtz
we need more anti capitalist operations research
We recently set up a new webpage where we want to collect all advances in the newly emerging field of #explainable #optimization

www.expopt.org

Our webpage collects publications, events and software packages related to the topic. If you want your work to be added please use our contact page:
Explainable Optimization
Managed by XOpt Team @ UvA. A websited dedicated to collect and promote the recent research on explainable optimization (XOpt).
www.expopt.org
I will give a talk about our newest work in #Explainable #Optimization in the EURO OSS. You are welcome to join!
But to be fair, this type of buzz-word repetition you also find at business schools without LLM use 😆
Join us for the next Robust Optimization Webinar (ROW) this Friday, October 3, at 17:00 (CET) (please note the changed time).

Speaker: Paul Grigas (University of California, Berkeley)
Title: Parametric Optimization Beyond Discretization

More info on our webpage: sites.google.com/view/row-ser...
In collaboration with University of Amsterdam, Harvard Medical School and Massachusetts General Hospital we developed a heuristic algorithm for the k-adaptability approach applied to #robust treatment planning in radiation therapy.

Paper link: arxiv.org/abs/2508.07368
The Robust Optimization Webinar (ROW) is back from the summer break! We will have our first seminar this Friday, September 5 at 15:00 (CET).

Speaker: Alexander Shapiro (Georgia Institute of Technology)

Title: Rectangularity and Duality of Distributionally Robust Markov Decision Processes
But I mean the leading academics in the field are frequently debating the impact of AI (see e.g. www.youtube.com/watch?v=144u...). We can discuss how realistic or smart some arguments are but at least there is a discussion. Never saw anything coming close to this in OR.
Munk Debate on Artificial Intelligence | Bengio & Tegmark vs. Mitchell & LeCun
YouTube video by Policy-Relevant Science & Technology
www.youtube.com
Very true, although at least in AI research people are more aware of societal/political consequences of their works. In OR people had some discussions in the 80s and after the neoliberal agenda took over it feels there is no discussion about the inherent OR ideology anymore..
Our paper on #CounterfactualExplanations for #LinearOptimization Problems is now published and open accessible at European Journal of Operational Research:

doi.org/10.1016/j.ej...
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: youtube.com/@robustoptim...

Webpage: sites.google.com/view/row-ser...
The last #ROW of this season takes place Friday, June 27, at 15:00 (CET). We will be back with our 6th season beginning of September.

Speaker 1: Taylan Kargin (Caltech)

Speaker 2: Zihang Qiu (University of Amsterdam)

More information on our webpage: sites.google.com/view/row-ser...
Perfect showcase that for this type of problems using an LLM to search over the space of algorithms instead of smartly searching over the solution space is a complete waste of resources.
Reposted by Jannis Kurtz
4th AI & Mathematics in NL workshop in Tilburg.

Many cool presentations: aimath.nl/index.php/20...

And great people:
Join us for the next Robust Optimization Webinar (#ROW), this Friday, June 13, at 15:00 (CET):

Speaker: Ian Yihang Zhu (NUS Business School)

Title: Network Flow Models for Robust Binary Optimization with Selective Adaptability

More information on our webpage: sites.google.com/view/row-ser...
Ok these algorithm abbreviations are getting out of hand 😂