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