YOUNG Machine Learning NeEDS Mathematical Optimization Seminar

This seminar consists of three talks, as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/

Speaker: Alexandre Forel
Title: Explainable Data-Driven Optimization: From Context to Decision and Back Again

Speaker: Tabea Röber
Title: Empowering the User: Finding Regions of Counterfactual Explanations via Robust Optimization

Speaker: Defeng Liu
Title: Revisiting local branching with a machine learning lens

More information

Link to the talk: https://eu.bbcollab.com/guest/3953e5e4f39546019de1969c63656eda

Organisers

The organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization
Emilio Carrizosa, IMUS-Instituto de Matemáticas de la Universidad de Sevilla
Thomas Halskov, Copenhagen Business School
Kseniia Kurishchenko, Copenhagen Business School
Cristina Molero-Río, IMUS-Instituto de Matemáticas de la Universidad de Sevilla
Jasone Ramírez-Ayerbe, IMUS-Instituto de Matemáticas de la Universidad de Sevilla
Dolores Romero Morales, Copenhagen Business School