[DMANET] Season 7 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization

Dear colleagues,

We are happy to announce that on February 12, we are starting Season 7 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

All talks are 16.30-17.30 CET

February 12, 2024
Shiqian Ma, Rice University, USA
Title: Decentralized Bilevel Optimization
Link to talk: https://eu.bbcollab.com/guest/16aa78a6789c46c39744a51293653b13

February 19, 2024
Stanislav Uryasev, Stony Brook University, USA
Title: Risk Quadrangle and Applications: Support Vector Regression (SVR)
Link to talk: https://eu.bbcollab.com/guest/a4b0f61d3ca245c28f1a4b183a48b800

February 26, 2024
Nathan Kallus, Cornell University, USA
Title: Learning and Optimization: Separate or Integrate?
Link to talk: https://eu.bbcollab.com/guest/5f6b2827c847432ab35034deb752df08

March 4, 2024
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

March 11, 2024
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

March 18, 2024
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

April 8, 2024
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

April 22, 2024
Güzin Bayraksan<https://u.osu.edu/bayraksan.1/>, 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

April 29, 2024
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

May 6, 2024
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


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