[Opt-Net] Season 6 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization is back on October 2

[Dolores Romero Morales]

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, riseneeds.eu, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org<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/c8ae1469ed034fddb17cddcde67972ac

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/e6d83628f37b4f65adfb6062ee093be2

October 23, 2023
Prof Daniel Kuhn, EPFL, Switzerland
Title: Metrizing Fairness
Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/6e6638bbdd854181b21637e1e8c02e43

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/c1702ac72a8244e6b0f93cf5befdb42c

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/40a20d4cc309494fa78f3d0b88102365

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/0a4bbb97d3fa49c589ec644496e0e769

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/186b1c65f74b4189ad852fb9ab0e137e

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/e80c02d25f9b489f8f3c6e644edb9c3d

December 4, 2023
Prof Bilge Atasoy, Delft University of Technology, The Netherlands
Title: To be announced
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

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