Addressing Missing Data and Scalable Optimization for Data-driven Decision Making

Data-driven decision making has become a necessary commodity in virtually every domain of human endeavor, fueled by the exponential growth in the availability of data and the rapid increase in our computing power. In principle, if the collected data contain sufficient information, it is possible to...

Full description

Bibliographic Details
Main Author: Song, Dogyoon
Other Authors: Parrilo, Pablo A.
Format: Thesis
Published: Massachusetts Institute of Technology 2022
Online Access:https://hdl.handle.net/1721.1/139254
https://orcid.org/0000-0001-5489-8213