Dear Locators,

The attached announcement for the Online Seminar Series Machine Learning NeEDS Mathematical Optimization​ may be interesting for many of you.

Cheers, Hatice

________________________________ From: EMILIO J CARRIZOSA PRIEGO ecarrizosa@us.es Sent: 20 September 2023 12:39 To: Hatice ÇALIK; carmela.piccolo@unina.it; DIEGO PONCE LOPEZ Cc: Dolores Romero Morales; EMILIO J CARRIZOSA PRIEGO Subject: Season 6 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization

Dear colleagues, We are launching Session 6 of our Online Seminar Series Machine Learning NeEDS Mathematical Optimization. We would kindly ask you to distribute among the members of the EWGLA and those colleagues potentially interested, the announcement below. Thanks a lot for your help! Greetings, Dolores Romero Morales and Emilio Carrizosa

%%% Season 6 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization

Dear colleagues,

We are happy to announce that on October 2, we are starting Season 6 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/. Find below the tentative program. This seminar series is an activity from the EU H2020 MSCA RISE NeEDS project, https://riseneeds.eu/ branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org

Tentative Program

October 2, 2023 Prof Mike Baiocchi, Stanford University, USA Title: Outcome Reasoning: the under-discussed engine powering black box development Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/c8ae1469ed034fddb17cddcde679...

October 9, 2023 YOUNG Caroline Spieckermann, Technical University of Munich, Munich, Germany Title: A Graph Neural Network-based Reduce-then-Optimize Heuristic for the Fixed-Charge Transportation Problem Miaolan Xie, Cornell University, USA Title: Reliable Adaptive Stochastic Optimization with High Probability Guarantees Quan Zhou, Imperial College London, UK Title: Frontier Challenges in AI: The case of algorithmic bias in forecasting tools Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/e6d83628f37b4f65adfb6062ee09...

October 23, 2023 Prof Daniel Kuhn, EPFL, Switzerland
Title: Metrizing Fairness
 Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/6e6638bbdd854181b21637e1e8c0...

October 30, 2023 Prof Yael Grushka-Cockayne, University of Virginia, USA Title: Challenges of Combining Forecasts from Correlated Sources Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/c1702ac72a8244e6b0f93cf5befd...

November 6, 2023 Prof Adam Elmachtoub, Columbia University, USA Title: Smart Predict-then Optimize for Contextual Linear Optimization: Theory and Computation Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/40a20d4cc309494fa78f3d0b8810...

November 13, 2023 Prof Martin Schmidt, Trier University, Germany Title: The Minimum Sum-of-Squares Clustering Problem: Robustification and Global Optimization Techniques Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/0a4bbb97d3fa49c589ec644496e0...

November 20, 2023 Prof Emilia Gomez, Joint Research Centre, European Commission & Universitat Pompeu Fabra, Spain Title: Scientific challenges, practical methodologies and policy perspectives for trustworthy AI Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/186b1c65f74b4189ad852fb9ab0e...

November 27, 2023 Prof Jordi Castro, Universitat Politecnica de Catalunya, Spain Title: An interior-point solver for large structured optimization and (data science and alternative) applications Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/e80c02d25f9b489f8f3c6e644edb...

December 4, 2023 Prof Bilge Atasoy, Delft University of Technology, The Netherlands Title: Adaptive Transport Systems through Operations Research, Behavioral Modeling and Machine Learning Link to talk: https://eu.bbcollab.com/guest/0953c0928387448397ba36a45eaef74d

Looking forward to e-seeing you there!

The organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization

Emilio Carrizosa, IMUS-Instituto de Matemáticas de la Universidad de Sevilla Nuria Gómez-Vargas, IMUS-Instituto de Matemáticas de la Universidad de Sevilla Thomas Halskov, Copenhagen Business School Dolores Romero Morales, Copenhagen Business School