Learning and Optimization: Separate or Integrate?
Learning and Optimization: Separate or Integrate?
This is a talk given by Prof Nathan Kallus as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org. Abstract: Predictive side information (aka context) makes optimization under uncertainty less uncertain, but leveraging it requires we learn […]