Google & J.P. Morgan Propose Advanced Bandit Sampling for Multiplex Networks | Synced

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 app...

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Source: Synced | AI Technology & Industry Review

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.