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.orghttps://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 Bayraksanhttps://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