Google & J.P. Morgan Propose Advanced Bandit Sampling for Multiplex Networks
A team from Google Research and J.P. Morgan AI Research proposes an algorithm for scalable learning on multiplex networks with a large number of layers, improving efficiency over recent popular approaches.