Machine Learning from Weak Supervision
Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.
Dataset Shift in Machine Learning
An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions.