Come to Amsterdam! #ismp2027

Some more paper news: Our article "Computing weak counterfactual explanations for linear optimization: A new class of bilevel models and a tailored penalty alternating direction method" (jointly with @hlefebvr.bsky.social) has now been published in EJOR: www.sciencedirect.com/science/arti...

The next Robust Optimization Webinar takes place this Friday, February 20, at 15:00 (CET). Speaker 1: Justin Starreveld (University of Amsterdam) Speaker 2: Irina Wang (Princeton University) More information on our webpage: sites.google.com/view/row-ser...

postdoc opportunity for three years in Eindhoven, within the project "Exploiting Symmetries for Faster Bilevel Optimization Algorithms," together with Christopher Hojny #orms www.tue.nl/en/working-a...

In our new work lead by Daan Otto we study model extraction attacks on linear machine learning models. optimization-online.org/2026/02/line... The goal is to reveal the parameters of a black-box machine learning model by querying the model for a selected set of data points.

The next Robust Optimization Webinar will take place this Friday, February 6, at 15:00 (CET): Speaker: Beste Basciftci (University of Iowa) Title: Distributionally Robust Optimization under Multimodal Decision-Dependent Uncertainty More information on our webpage: sites.google.com/view/row-ser...

I am very proud that my recent single-authored paper on #Robust K-adaptability #Optimization got published now in Mathematical Programming: rdcu.be/e1hsS

The first Robust Optimization Webinar of this year takes place this Friday, January 23, at 15:30 (CET). Speaker: Vineet Goyal (Columbia University) Title: Distributionally Robust Newsvendor on a Metric Please note the changed starting time.

Season 7 of the Robust Optimization Webinar will start on January 23! We have an amazing list of speakers again this year! For more information please visit our Webpage: lnkd.in/eujnAkBA Youtube Channel: lnkd.in/eVVc9JRr #ROW

Kicking off 2026, here is a new list of summer schools on artificial intelligence, data science, machine learning, and operations research: thiagoserra.com/2026/01/04/s...

Join us for the last ROW of this year, on Friday Dec. 12, at 17:00 (CET) (note the changed start time). Speaker: İhsan Yanıkoğlu (Özyegin University) Title: Robust Optimization under Separable Uncertainty for Electromobility and Sustainable Transportation

Check our new work ont #two-stage #stochastic #k-adaptability problems for general (non-)linear problems. Credit for this work go especially to Federica Donnini and Marianna de Santis. Preprint: optimization-online.org/2025/11/k-ad...

Join us for the next Robust Optimization Webinar (ROW) this Friday, November 28, at 15:00 (CET). Speaker: Leonardo Lozano (University of Cincinnati) Title: Solving integer robust optimization problems with integer decision-dependent uncertainty sets

Join us this Friday for the next Robust Optimization Webinar, November 14, at 15:00 (CET). Speaker: Noam Goldberg (Ben-Gurion University of the Negev) Title: Robust Extensible Bin Packing and Revisiting the Convex Knapsack Problem More infos on our webpage: sites.google.com/view/row-ser... #ROW

For anyone who missed the talk, he talked about this in the #ROW some time ago: youtu.be/ZpMgnrKhWzU?...

Join us for the next Robust Optimization Webinar this Friday, October 31, at 15:00 (CET). Speaker 1: Eva Ley (TU Braunschweig) Speaker 2: Annelot Bosman (Leidern University) More information on our webpage: sites.google.com/view/row-ser... #ROW

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

@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

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:

I will give a talk about our newest work in #Explainable #Optimization in the EURO OSS. You are welcome to join!

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

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.

Timo Berthold has a post called “FICO Xpress Optimization Surpasses AlphaEvolve’s Achievements” www.fico.com/blogs/best-g... #orms

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 😂

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: lnkd.in/eujnAkBA

#Machine-learning based algorithms are still not able to beat deterministic general purpose solvers for #combinatorial #optimization. arxiv.org/abs/2505.16952

Join us for the next Robust Optimization Webinar (#ROW) this Friday, May 16, at 15:00 (CET). Speaker: Bahar Taskesen (The University of Chicago Booth School of Business) Title: Distributionally Robust Linear Quadratic Control More information on our webpage: sites.google.com/view/row-ser...

Next Wednesday, May 14th, I will give a presentation in the Explainable AI Seminars @ Imperial: xaiseminars.doc.ic.ac.uk I will talk about our recent work on #robust #counterfactuals and counterfactuals for #linear #optimization problems: doi.org/10.1287/ijoc... arxiv.org/abs/2405.15431

Registration is open for the International Workshop on Algorithmic #Optimization at @unitrier.bsky.social: alop.uni-trier.de/event/intern... There is also already a very nice list of confirmed speakers: M. Heinkenschloss, M. Hintermüller, M. Labbé, M. Leal, M. de Santis, J. Thürauf, and K. Welker

Join us for the Robust Optimization Webinar (#ROW) this Friday, May 2, at 15:00 (CET). Speaker: Francesca Maggioni (University of Bergamo) Title: Sampling and Bounding Methods for Multistage Robust and Distributionally Robust Optimization More information: sites.google.com/view/row-ser...

On June 12-13 the 4th workshop on #Mathematics and #AI is taking place at the University of Tilburg. More information & registration: aimath.nl/index.php/20... Keynote speakers: @smaglia.bsky.social (University of Amsterdam), @emiliocarrizosa.bsky.social (Universidad de Sevilla, Spain)

I’m shocked that in times academic institutions get attacked by governments, INFORMS launches a 15 min commercial podcast for Amazon, whose CEO allied with Trump recently. None of the discussed research is public, what’s the benefit for the #orms community? resoundinglyhuman.com/episodes/202...

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: tinyurl.com/ROWPage

This is like watching all the animals fleeing inland right before a tsunami. They know what's coming. So did Einstein in 1932 when he left. Doctors Stanley and Snyder are two of the top experts on authoritarianism, and have called it quits. I'll be joining them in Canada this summer.

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: sites.google.com/view/row-ser...

Justin Dumouchelle presented a neat outline of own work on approximating value functions with neural networks and solving stochastic, bilevel & robust optimization problems as a constraint learning problem in 3 published papers. Great @informs.bsky.social @icsinforms.bsky.social Conference talk!

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: tinyurl.com/CEforOPT #explainable #decisionmaking

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: @yasminebeck.bsky.social (ESSEC Business School) #ROW

Segev Wasserkrug gave an interesting talk today at the Senior Track of AAAI on using LLMs to automate the process of modeling mathematical optimization problems 1/N

Can #bilevel #optimization help to solve challenging #robust optimization problems? Maybe … here’s our first numerical study on this topic: "Solving Decision-Dependent Robust Problems as Bilevel Optimization Problems" Jointly with H. Lefebvre, S. Stevens, and J. Thürauf. tinyurl.com/3nxmjt74

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: sites.google.com/view/row-ser...

In our new work with Daan Otto and Ilker Birbil we derive #coherent #explanations to explain the behavior of #optimization #algorithms for, e.g., linear optimization problems. Our method can be applied to any algorithm, exact or heuristic. Link to the paper: www.arxiv.org/pdf/2502.04840