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Algorithms and ML reading group for infection spread

Techniques from algorithms, data mining, and machine learning that can be applied to problems related to the spread of infections

Week 6 Announcement

Sep 29 · 0 min read
  • 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

Announcements

About the reading group

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.