NeEDS – Network of European Data Scientists
A Research and Innovation Staff Exchange (RISE) project under the Marie Skłodowska-Curie Program
The project coordinator Dolores Romero Morales gives a last NeEDS presentation within the Schloss Dagstuhl – Leibniz-Zentrum für Informatik (LZI) Workshop on Machine Learning Augmented Algorithms for Combinatorial Optimization Problems. In the talk she presents the joint work on Counterfactual Analysis developed with Peter Bogetoft, Emilio Carrizosa and Jasone Ramírez Ayerbe.
More on X here.
Exciting News from EURO – The Association of European Operational Research Societies!
The launch of the EURO Online Seminar Series (EURO OSS) on Operational Research and Machine Learning has been announced.
🗓️ Date: October 14 🕒 Time: 16.30-17.30 CET
Join us for the inaugural session with Prof. Anita Schöbel (President of EURO) and a special talk by Prof. Bart Baesens on “Using AI for Fraud Detection: Recent Research Insights and Emerging Opportunities.”
To receive the link to participate online, please join the mainling list: https://forms.gle/YWLb6EPKRQnQert68.
The EURO OSS is a weekly online seminar series every Monday, 16.30-17.30 (CET), featuring leading speakers from Operational Research and related fields. Topics include explainability, fairness, fraud, privacy, and more. Plus, don’t miss the YOUNG EURO OSS sessions showcasing the latest research from junior academics.
Thanks to the support from EURO, Universidad de Sevilla (US), and Copenhagen Business School (CBS), the seminar series is free to attend!
🌐 Follow us:
The EURO OSS on Operational Research and Machine Learning are organised by:
The Machine Learning NeEDs Mathematical Optimization online seminar series is drawing to a close, and what an exciting journey it has been! Hosted by the NeEDS Network of European Data Scientists, this seminar series has brought together experts, researchers, and enthusiasts from around the world to explore the intersection of machine learning and mathematical optimization. We extend our heartfelt gratitude to all the speakers, participants, and contributors who have made this initiative a resounding success. With over 100 talks and more than 20,000 views on our YouTube channel (https://www.youtube.com/c/NeEDSNetworkofEuropeanDataScientists), this seminar series has truly enriched our understanding of the fascinating world of machine learning and optimization.
The online seminar series has been a platform for discussing cutting-edge research, practical applications, and emerging trends in both machine learning and mathematical optimization. One of the key highlights has been the exploration of how Operations Research (OR) plays a crucial role in shaping the field of artificial intelligence (AI). By bridging the gap between theory and practice, Machine Learning NeEDs Mathematical Optimization online seminar series has emphasized the importance of optimization techniques in solving real-world problems.
Remaining Session:
On May 6, 16.30 (CET), Prof Pierre Pinson will give a talk at the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of OR in AI with the support of EURO.
Title: Online learning and decision-making for renewables participating in electricity markets
Abstract: There is extensive literature on the analytics involved in the participation of renewable energy producers in electricity markets, covering both forecasting and decision-making. In their simplest form, participation strategies are to be seen as newsvendor problems (taking a decision-making perspective), or quantile regression problems (if taking a forecasting perspective instead). We will therefore explore recent advances at the interface between learning, forecasting and stochastic optimisation of relevance to renewable energy producers participating in electricity markets. This will cover online learning and decision-making, as well as distributionally robust optimisation.
Link to the talk:
https://cbs-dk.zoom.us/j/69569408084
Thank you for being part of this incredible journey, and we look forward to seeing you at the closing session on May 6th.
Today we celebrate the 2024 International Day of Women and Girls in Science (#IDWGS2024) and we are proud to introduce you to some of the amazing women who work in the EC H2020 RISE NeEDS project. They are making a difference in the fields of #OperationsResearch and #DataScience with their research and innovation.
We are grateful to ALL of you for inspiring the next generation of boys and girls with your examples of female leadership and excellence in science!
Thanks to:
Marta Boczoń
Margot Geerts
Nuria Gómez Vargas
Montserrat Heiras Nilsson
Natalia Khorunzhina
Kseniia Kurishchenko
Jasone Ramírez Ayerbe
Dolores Romero Morales gave a plenary speech at the 38th Annual Conference of the Belgian Operational Research Society, University of Antwerp, February 8-9, 2024, to present the NeEDS work on explainability and fairness in machine learning.
All talks are 16.30-17.30 CET
Shiqian Ma, Rice University, USA
Title: Decentralized Bilevel Optimization
Link to talk: https://eu.bbcollab.com/guest/16aa78a6789c46c39744a51293653b13
Stanislav Uryasev, Stony Brook University, USA
Title: Risk Quadrangle and Applications: Support Vector Regression (SVR)
Link to talk: https://eu.bbcollab.com/guest/a4b0f61d3ca245c28f1a4b183a48b800
Nathan Kallus, Cornell University, USA
Title: Learning and Optimization: Separate or Integrate?
Link to talk: https://eu.bbcollab.com/guest/5f6b2827c847432ab35034deb752df08
XIV YOUNG
Nathan Justin (University of Southern California, USA)
Title: Learning Optimal Classification Trees Robust to Distribution Shifts
José Ángel Martín Baos (University of Castilla-La Mancha, Spain)
Title: Can machine learning methods effectively model travel mode choice? Beyond predictive performance
Ioana Molan (Trier University, Germany)
Title: Learning the Follower’s Objective Function in Sequential Bilevel Games
Link to talk: https://eu.bbcollab.com/guest/f36b823fbfc74849848d66808d8db459
Pooja Dewan, Vice President, Chief Data and Analytics Officer, Otis Elevator Company, USA
Title: Role of Analytics Professionals in Building a Data Driven Culture
Link to talk: https://eu.bbcollab.com/guest/8d60cb95de7e431e83be6381f82e4e23
Bernardino Romera Paredes, Google DeepMind, UK
Title: FunSearch: Discovering new mathematics and algorithms using Large Language Models
Link to talk: https://eu.bbcollab.com/guest/5cd1f5545f6642939131e5035de434d3
XV YOUNG
Cheng Peng (Stony Brook University, USA)
Title: Factor Model of Mixtures
Haofeng Zhang (Columbia University, USA)
Title: Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
Giulia Di Teodoro (Sapienza University of Rome, Italy)
Title: Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree
Link to talk: https://eu.bbcollab.com/guest/3ef5ca638bf54c85aee046eb54559d2e
Güzin Bayraksan, Department of Integrated Systems Engineering, The Ohio State University, USA
Title: Integrating Stochastic Optimization and Machine Learning via Residuals
Link to talk: https://eu.bbcollab.com/guest/1b732023cea64e6da05b1e0d4d587578
XVI YOUNG
Nuria Gómez Vargas (University of Sevilla, Spain)
Title: A predict-and-optimize approach to profit-driven churn prevention
Maria Eduarda Pinheiro (Trier University, Germany)
Title: Mixed-Integer Quadratic Optimization and Iterative Clustering Techniques for Semi-Supervised Support Vector Machines
Bahar Taşkesen (EFPL, Switzerland)
Title: Reliable Data-driven Decision Making
Link to talk: https://eu.bbcollab.com/guest/f61afb4993e9440bb387b74ef86355d7
Pierre Pinson, Imperial College, UK
Title: Online learning and decision-making for renewables participating in electricity markets
Link to talk: https://eu.bbcollab.com/guest/c4046bb5460245e48247284d998a25c2
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
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: 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
Do you want to know more on Generative AI?
Since the launch of ChatGPT in March this year, just six months ago, the Artificial Intelligence landscape has changed on a global scale and has started a revolution in all sectors. Generative AI represents a new scenario of possibilities and capabilities in all areas.
At Inetum they are already working on different solutions based on this technology to experiment and create new use cases that can be applied on a day-to-day basis, always with the idea of putting technology at the service of people and society.
And with this same objective, the Inetum Chair and the University of Oviedo are organising this conference on Generative AI at the Polytechnic School of Gijón on October 4 2023, where they invite you to participate.
Among the speakers the NeEDS partner Min Chen, Professor of Scietific Visualisation at the University of Oxford, will participate in the discussion.
Emilio Carrizosa gave a plenary speech at Optimization2023, to present the NeEDS work on counterfactual explanation for machine learning. The main objective of the Optimization 2023 conference is to bring together researchers and practitioners from different areas and backgrounds, but with common interests in Optimization.
This meeting has international recognition as an important forum of discussion and exchange of ideas. It is the 10th edition of a series of international conferences in optimization organized in Portugal under the auspices of APDIO (the Portuguese Operations Research Society).
The conference took place in the University of Aveiro, July 24-26, 2023. Read more here.
Click here to register
