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, 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