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DSO workshop colocated with CEC 2017 and CPAIOR 2017 INVITED SPEAKERS: On the role of (machine) learning in (mathematical) optimization Andrea Lodi In this talk, I try to explain my point of view as a Mathematical Optimizer -- especially concerned with discrete (integer) decisions -- on Big Data. I advocate a tight integration of Machine Learning and Mathematical […]
Data Science meets Optimisation Streams 2017 Call for Abstracts Stream on Data Science meets Optimisation Quebec city, Quebec, Canada (July 17-21, 2017) Scope: The interaction of data science (DS) and optimisation (O) is the central theme of the working group (DSO). DSO originates from the observation that, on the one hand, real time optimisation algorithms are tightly linked to […]
DSO Workshop at FEDERATED ARTIFICIAL INTELLIGENCE MEETING 2018 (DSO@FAIM) Keynote speakers Schedule Data science and optimisation are closely related. On the one hand, many problems in data science (data mining, machine learning, statistical methods, but also problems set in constraint programming) can be solved using optimisers, on the other hand optimisation problems stated […]
