[Bandit] 1. Introduction to Multi-armed Bandit

The [Bandit] series of posts is my memo on the lecture Seminar in Recent Development of Applied Statistics (Spring, 2021) by Prof. Myunghee Cho Paik. This lecture focuses on adaptive sequential decision making. To be more specific, it covers wide variants of bandit problems.
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[Statistical Learning] 1. Overview of Supervised Learning

The [Statistical Learning] series of posts are my summary of The Elements of Statistical Learning (ESL) and a memo on the lecture Advanced Data Mining (Spring, 2021) by Prof. Yongdai Kim. Main goal of the lecture is to interpret classical machine learning models in terms of statistics and decision theoretic framework.
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