Multi-arm Bandits

Related lectures (31)

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Covers confidence intervals for Gaussian means, Student distribution, and Wald confidence intervals for maximum likelihood estimators.

Delves into the duality between confidence intervals and hypothesis tests, emphasizing the importance of precision and accuracy in estimation.

Covers the construction of confidence intervals and approximate critical values in statistical inference.

Discusses Monte Carlo VaR accuracy, confidence intervals, backtesting, and multivariate distributions.

Explores bias, variance, and confidence intervals in parameter estimation using examples and distributions.

Explores Bourgain's theorem on sparsest cut in graphs, emphasizing semimetrics and cut optimization.

Covers statistical concepts like probability, estimation, hypothesis testing, and confidence intervals for mathematicians.

Covers the construction of confidence intervals for a normal distribution with unknown mean and variance.

Explores stable laws, limit theorems, and random variable properties.

Explores generalization error in machine learning, focusing on data distribution and hypothesis impact.