Learning and Optimization for Sequential Decision Making 02 / 01 / 16 Lecture 4 : Thompson Sampling ( part 1 )
نویسنده
چکیده
Consider the problem of learning a parametric distribution from observations. A frequentist approach to learning considers parameters to be fixed, and uses the data learn those parameters as accurately as possible. For example, consider the problem of learning Bernoulli distribution’s parameter ( a random variable is distributed as Bernoulli(μ) is 1 with probability μ and 0 with probability 1 − μ). We are given 10 independent samples: 0, 0, 1, 1, 0, 1, 1, 1, 0, 0
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IEOR 8100-001: Learning and Optimization for Sequential Decision Making 02/03/16 Lecture 5: Thomposon Sampling (part II): Regret bounds proofs
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