Computer Science and Discrete Mathematics (CSDM)

Learning from Censored and Dependent Data

Constantinos Daskalakis
Machine Learning is invaluable for extracting insights from large volumes of data. A key assumption enabling many methods, however, is having access to training data comprising independent observations from the entire distribution of relevant data...