🏸Game theory as an engine for large-scale data analysis
A new look at principal components analysis as a competitive game, where each approximate eigenvector is controlled by the player, whose goal is to maximize his own utility function. As a multi-agent perspective, it has allowed the development of new ideas and algorithms with the efficient use of the latest computing resources, globally scaling datasets. Brief overview https://deepmind.com/blog/article/EigenGame and detailed article https://openreview.net/forum?id=NzTU59SYbNq