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Courses - Spring 2021
Electrical & Computer Engineering Department Site
Advanced Topics in Communication; Information Theoretic Methods in Learning
Credits: 3
Grad Meth: Reg, Aud, S-F
Prerequisite: ENEE 620 or equivalent; and elements of information theory

This course covers several information theoretic methods of interest in statistical inference and machine learning. Topics include: (i) information geometry leading to the EM algorithm and applications; (ii) measure concentration methods; (iii) correlated multiarmed bandits including in probability distribution learning from partially sampled observations (finding an arm or a small set of arms that yield information about other correlated arms) with applications in sensor placement in IoT or for environmental or cellular network monitoring; and (iv) applications in data privacy vs function computation utility tradeoffs.