Multi-arm Bandits: Regret and Exploration

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 1 of 4

Probability Review

Introduces subgaussian and subexponential random variables, conditional expectation, and Orlicz norms.

Linear Combinations: Moment-Generating Functions

Explores moment-generating functions, linear combinations, and normality of random variables.

Gaussian Vectors: Properties and Distributions

Explains multivariate Gaussian distribution properties and moment generating functions for random vectors.

Moment Generating Function and Multivariate Normal Distribution

Explores moment generating functions and multivariate normal distributions in probability and statistics.

Elements of Statistics: Exercises

Covers exercises on Bayes' Theorem, moment generating functions, photon counts, disease probabilities, and distribution properties.

Probability Spaces

Covers random variables, expectation, and distributions in probability spaces.

Stochastic Models for Communications

Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.

Common Distributions: Moments and MGFs

Covers common distributions, moment generating functions, and covariance matrices in statistics for data science.

Large Deviations: Theory and Applications

Delves into large deviations in statistical mechanics, exploring Kramer's theorem, Varadhan's lemma, and Laplace's method.

Multivariate Normal Distribution

Covers the multivariate normal distribution, moment-generating function, and combinatorics.