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


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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

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

October 23, 2023
Prof Daniel Kuhn, EPFL, Switzerland
Title: Metrizing Fairness


October 30, 2023
Prof Yael Grushka-Cockayne, University of Virginia, USA
Title: Challenges of Combining Forecasts from Correlated Sources

November 6, 2023
Prof Adam Elmachtoub, Columbia University, USA
Title: Smart Predict-then Optimize for Contextual Linear Optimization: Theory and Computation

November 13, 2023
Prof Martin Schmidt, Trier University, Germany
Title: The Minimum Sum-of-Squares Clustering Problem: Robustification and Global Optimization Techniques

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

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

December 4, 2023
Prof Bilge Atasoy, Delft University of Technology, The Netherlands
Title: Adaptive Transport Systems through Operations Research, Behavioral Modeling and Machine Learning

 
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