3 accepted papers
Limited labeling budget severely impedes data-driven research, such as medical analysis, remote sensing and population census, and active inference is a solution to this problem. Prior works utilizing independent sampling have achieved improvements over uniform sampling, but its insufficient usage o…
As the availability of different data sources increases, transfer learning has become popular for improving estimation efficiency by incorporating those sources. In this paper, we propose a functional balancing transfer learning algorithm for observational studies integrating external summary inform…
Multi-task learning has attracted much attention due to growing multi-purpose research with multiple related data sources. More- over, transduction with matrix completion is a useful method in multi-label learning. In this paper, we propose a transductive matrix completion algorithm that incorporate…