Recent Submissions

  • Machine learning for problems with missing and uncertain data with applications to personalized medicine 

    Pawlowski, Colin. (Massachusetts Institute of Technology, 2019)
    When we try to apply statistical learning in real-world applications, we frequently encounter data which include missing and uncertain values. This thesis explores the problem of learning from missing and uncertain data ...
  • Analytics in promotional pricing and advertising 

    Baardman, Lennart. (Massachusetts Institute of Technology, 2019)
    Big data and the internet are shifting the paradigm in promotional pricing and advertising. The amount of readily available data from both point-of-sale systems and web cookies has grown, enabling a shift from qualitative ...
  • The edge of large-scale optimization in transportation and machine learning 

    Martin, Sébastien,Ph. D.Massachusetts Institute of Technology. (Massachusetts Institute of Technology, 2019)
    This thesis focuses on impactful applications of large-scale optimization in transportation and machine learning. Using both theory and computational experiments, we introduce novel optimization algorithms to overcome the ...

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