Techniques from algorithms, data mining, and machine learning that can be applied to problems related to the spread of infections
Week 6 Announcement
- Jeff will lead discussion on week 6 (Sep 29) on the KDD 03 paper by Kempe, Kleinberg, and Tardos
Kempe D, Kleinberg J, Tardos É. Maximizing the spread of influence through a social network. InProceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining 2003 Aug 24 (pp. 137-146). Paper link
In this reading group, we meet weekly to discuss techniques from algorithms, data mining, and machine learning that can be applied to problems related to the spread of infections. Our plan is to study a mixture of the latest papers and tutorial-style material on methods that could be useful to us. For example, one week we might study a paper from ICML 2021 and the next two weeks we might run a tutorial on submodular function optimization.