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

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

February 19, 2024

Stanislav Uryasev, Stony Brook University, USA

Title: Risk Quadrangle and Applications: Support Vector Regression (SVR)

Link to talk

February 26, 2024

Nathan Kallus, Cornell University, USA

Title: Learning and Optimization: Separate or Integrate?

Link to talk

March 4, 2024


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

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

March 18, 2024

Bernardino Romera Paredes, Google DeepMind, UK

Title: FunSearch: Discovering new mathematics and algorithms using Large Language Models

Link to talk

April 8, 2024


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

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

April 29, 2024


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

May 6, 2024

Pierre Pinson, Imperial College, UK

Title: Online learning and decision-making for renewables participating in electricity markets

Link to talk


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