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This seminar consists of three talks, as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/
Speaker: Dr Farzaneh Pourahmadi
Title: Data-driven Warm-start for Accelerating Short-term Scheduling
Speaker: Dr Brais González Rodríguez
Title: Learning for Spatial Branching: An Algorithm Selection Approach
Speaker: Jiachang Liu
Title: FasterRisk: Fast and Accurate Interpretable Risk Scores
More information
Link to the talk: https://eu.bbcollab.com/guest/df7670c989a44bf585741d4b5c64ccfc
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