The next Robust Optimization Webinar (ROW) takes place this Friday, October 16, at 15:00 (CET). Speaker: Amine Bennouna (Northwestern University) Title: What Data Enables Optimal Decisions? A Study of Data Informativeness in Optimization Under Uncertainty

With AI & Mathematics (AIM) we are writing a draft vision document that we would like to discuss with the Dutch mathematics community. Please join us: AI4Math Workshop: Shaping the Future of Mathematics with AI Date: Friday 4 December 2026 Time: 09:30 - 15:00 Website: ai4math.nl

AI4Math Workshop: Shaping the Future of Mathematics with AI

A half-day workshop on developing a shared vision for the future of mathematics in the age of AI. Friday 4 December 2026, 09:30-15:00, CWI Amsterdam.

ai4math.nl

Calculating optimal counterfactuals for integer optimization problems is Sigma_2^p-complete. In our new work we derive a fast heuristic by approximating the feasible region of the problem with a decision tree for which CEs can be calculated more quickly. Paper: arxiv.org/abs/2610.05887

Join us for the next Robust Optimization Webinar (ROW) this Friday, October 2, at 15:00 (CET). Speaker: Hamed Hassani (University of Pennsylvania) Title: Rethinking Uncertainty for Trustworthy Human–AI Interaction More information on our webpage: sites.google.com/view/row-ser...

Season 8 of the Robust Optimization Webinar (ROW) starts this Friday, September 18 at 15:00 (CET) Speaker: Çağıl Koçyiğit Yalçın (University of Luxembourg) Title: Learning Risk Scores Robust to Unobserved Confounders More information on our webpage: sites.google.com/view/row-ser...

The most important sentence from the OpenAI announcement on Navier-Stokes: „While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models.“

How hard is robust linear optimization? In our new work together with Michael Poss, Marc Goerigk and Dorothee Henke we study the complexity landscape of static robust optimization, two-stage robust optimization and robust k-adaptability: arxiv.org/abs/2608.21574

📢 #ISMP2027: Submission Platform Now Open! Submissions for the 26th International Symposium on Mathematical Programming are now open! 🔗 Submit & find submission guidelines: ismp2027.mathopt.nl/registration... 🗓️ July 25–30, 2027 📍 Amsterdam 🔗 ismp2027.mathopt.nl #MOS #MathematicalProgramming

Lead by our PhD student Jiaqi Qiu we developed a new explainable AI method based on LIME for diagnosing statistical process monitoring (SPM) methods. This is joint work with Rob Goedhart and Inez Zwetsloot . Our paper: arxiv.org/abs/2608.10587

The 8th season of the Robust Optimization Webinar (ROW) starts soon! Our first talk will take place on September 18, 15:00 (CET). You can subscribe to our mailinglist and the calendar on our webpage: sites.google.com/view/row-ser... Hope to see you all soon! #ROW

Can we please try to avoid to start talking and writing like ChatGPT or Claude? I can’t take it if a math paper talks to me like a business coach.

‘I hate what AI is doing to the minds and happiness of the young’: Katherine Rundell on the view from the classroom

‘I hate what AI is doing to the minds and happiness of the young’: Katherine Rundell on the view from the classroom

Education is at a crossroads, argues the author and academic. Should we embrace new technology in the name of efficiency, or is it time to fight back?

theguardian.com

📢 #ISMP2027 — Submissions opening soon! Submissions for the 26th International Symposium on Mathematical Programming will open on September 1, we look forward to your contributions! 🗓️ July 25–30, 2027 📍Amsterdam 🔗 ismp2027.mathopt.nl #MathematicalProgramming #OperationsResearch #Optimization #MOS

The Robust Optimization Webinar is going into a summer break, but we will be back in September with our new season! Until then you can enjoy the summer watching all recordings of our previous talks on Youtube: www.youtube.com/@robustoptim... See you soon! #ROW

Robust Optimization Webinar

This is the youtube channel for the Robust Optimization Webinar (ROW) organized by Ahmadreza Marandi (TU Eindhoven) and Jannis Kurtz (University of Amsterdam). For more details check: https://sites.g...

youtube.com

Join us for the last Robust Optimization Webinar before the summer break, Friday, 26 June, at 17:00 (CET); note the changed starting time Speaker: Amir Ardestani-Jaafari (University of British Columbia) Title: The Value of Flexibility in Robust Supply Chain Network Design #ROW

Joins us for the next Robust Optimization Webinar (ROW) this Friday, June 12, at 15:00 (CET). Speaker 1: Igor Malheiros (University of Montpellier) Speaker 2: Dr. Christian Biefel (SAP) More information on our webpage: lnkd.in/eujnAkBA

If you are around on SIAM Conference on Optimization (#OP26) this Friday, and interested in Methods and Applications in Optimization and AI you might want to join our mini symposium: Start time: Friday, 2:50 PM Event #: MS373 Room #: Appleton Tower-Lecture Th 2

Join us for the next Robust Optimization Webinar (ROW), this Friday, May 29, at 15:00 (CET). Speaker: Peter Zhang (Carnegie Mellon University) Title: Robust Paths: Geometry and Computation You can find more information on our webpage: sites.google.com/view/row-ser...

Join us for the next Robust Optimization Webinar (ROW) this Friday, May 15, at 15:00 (CET). Speaker 1: Halil İbrahim Bayrak (Technical University of Munich) Speaker 2: Menglei Jia (Shanghai Jiao Tong University) More information you can find on our webpage: sites.google.com/view/row-ser...

Join us for the next Robust Optimization Webinar this Friday, May 1st, at 15:00 (CET). Speaker: Bo Zeng (University of Pittsburgh) Title: A Study of Distributionally Robust Optimization from Primal Perspective More information on our webpage: sites.google.com/view/row-ser... #ROW

Much of the current AI-for-mathematics discussion is framed as a contest between learned systems and classical methods, often missing the point. It is not AI vs classical, but where AI belongs in the stack. Three examples from our work: www.pokutta.com/blog/not-ev... #ai #math #agentic

Not every discovery needs an LLM

TL;DR: AI-driven scientific discovery with systems such as AlphaTensor, AlphaEvolve, etc is en vogue and we are also heavily invested in that space. However, these LLM- and RL-driven approaches, while impressive often in themselves, are not always the right tool to get the job done. In this post I will talk about three recent projects from our group that take different angles on LLM- and RL-driven mathematical discovery systems. Two of them revisit classical problems made famous through these AI systems and show that classical structured search matches or beats them on these specific problem classes; with a tiny fraction of the compute. The third example goes the other way around: AI not as discovery engine, but an AI-accelerated subroutine sits inside a classical structured search and lets us settle a thirty-year-old conjecture on real algebraic plane curves of degree seven. This points to an interesting shift in the recent AI vs. classical discussion: it is not so much about whether

pokutta.com

I recently learned #robust #optimization is actually a pathological anxiety.

Join us for the next Robust Optimization Webinar which takes place this Friday, April 17, at 17:00 (CET). Speaker: Soroosh Shafiee (Cornell University) Title: Decision-Making under Local and Global Adversarial Corruptions For more information: sites.google.com/view/row-ser...

I think the latex templates for Informs OR/MS are designed on purpose to filter out authors who are extremely motivated and hate theirselves.

My joint work with Bart Van Parys on Globalized Adversarial Regret Optimization (GARO) is now available: arxiv.org/abs/2603.25948 We introduce a new decision framework that controls the gap between the worst-case cost and the oracle robust cost, uniformly across all possible uncertainty set sizes.

The next Robust Optimization Webinar will take place this Friday, March 6, at 15:00 (CET). Speaker: @emiliocarrizosa.bsky.social (University of Seville) Title: Making Counterfactual Explanations Robust More information on our webpage: sites.google.com/view/row-ser... #ROW

Come to Amsterdam! #ismp2027

ISMP 2027 – Amsterdam@ismp2027.bsky.social · 8mo ago

📢 #ISMP2027 comes to Amsterdam! The 26th International Symposium on Mathematical Programming will be held July 25–30, 2027. Join researchers from around the world to discuss advances, challenges, and opportunities in the theory and practice of mathematical optimization. 🔗 ismp2027.mathopt.nl #MOS

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...