[#10] Statistical Inference, Learning and Optimization for Dynamics on Networks

He showed an application of DMP method on Independent Cascade model to infer the marginal probability defined on the nodes of the network, which has an extraordinary low computational complexity - comparable with a single Monte Carlo run!

In the second part of his talk, he shared with us his frustrating experience of applying for a grant, and encouraged the audience in the same situation: the application process may contain lots of randomness and do not feel discouragement if the process does not go well.