Lectures related to Regret (decision theory)

Explores the Cramér-Rao bound, hypothesis testing, and optimality in statistical theory.

Explores optimality in decision theory and unbiased estimation, emphasizing sufficiency, completeness, and lower bounds for risk.

Explores challenges in control, safety, and coordination for autonomous systems like autonomous cars, focusing on safe learning and Nash equilibria.

Explores distribution estimation, constraints in estimators, and competitive analysis for robust estimation.