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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 %%% Emilio Carrizosa Professor of Statistics & Operations Research, IMUS and Faculty of Mathematics, University of Seville President of math-in, Red Española Matemática-Industria AD MAIORA SEMPER You are kindly invited to have a look at: - my research: - my outreach services:
- some academic activities:
You can reach me · by email at ecarrizosa@us.es · face to face at Emilio CarrizosaFacultad de MatemáticasDpto de Estadística e Investigación Operativa (despacho 4)Avda Reina Mercedes s/n41012 Sevilla, Spain |
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