KERNEL MEAN EMBEDDING OF DISTRIBUTIONS

A Review and Beyond provides a comprehensive review of existing work and recent advances in this research area, and to discuss some of the most challenging issues and open problems that could potentially lead to new research directions. The targeted audience includes graduate students and researchers in machine learning and statistics who are interested in the theory and applications of kernel mean embeddings.