2016 Optimization Days

HEC Montréal, Québec, Canada, May 2 — 4, 2016

Schedule Authors My Schedule
Cal add eabad1550a3cf3ed9646c36511a21a854fcb401e3247c61aefa77286b00fe402

WAP Séance plénière V / Plenary Session V

May 4, 2016 09:00 AM – 10:00 AM

Location: Amphithéâtre Banque Nationale

Chaired by Dominique Orban

1 Presentation

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    09:00 AM - 10:00 AM

    On big data, optimization and learning

    • Andrea Lodi, presenter, Polytechnique Montréal

    In this talk I review a couple of applications on Big Data that I personally like and I try to explain my point of view as a Mathematical Optimizer -- especially concerned with discrete (integer) decisions -- on the subject. I advocate a tight integration of Machine Learning and Mathematical Optimization (among others) to deal with the challenges of decision-making in Data Science. For such an integration I try to answer three questions: 1) what can optimization do for machine learning? 2) what can machine learning do for optimization? 3) which new applications can be solved by the combination of machine learning and optimization?

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