Learning from Interactions via Online Decision-making and Network Science
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Author
Kumar, Raunak
Abstract
Interactions between a learner and an environment arise in a variety of domains, ranging from online recommendations (e.g., Spotify) to control of physical dynamical systems (e.g., temperature regulation in a datacenter). In this dissertation we study such problems through two different perspectives: online decision-making and network science. In Part I we study how a learner should make decisions
Description
257 pages
Date Issued
2024-08
Keywords
Committee Chair
Kleinberg, Robert
Committee Member
Dean, Sarah
Sridharan, Karthik
Tardos, Eva
Degree Discipline
Computer Science
Degree Name
Ph. D., Computer Science
Degree Level
Doctor of Philosophy
Rights
Attribution-NonCommercial 4.0 International
Type
dissertation or thesis
Link(s) to Catalog Record