Lecture

High probability learning guarantees

Related lectures (30)

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Convergence in Law: Theorem and Proof

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Property Estimation and Exponential Family

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Probability Convergence

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Conditional Expectation: Grouping Lemma

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McDiarmid's Inequality: Proof and Applications

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Coupling of Markov Chains: Ergodic Theorem

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Variational Formulation: Information Measures

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Proofs: Logic, Mathematics & Algorithms

Explores proof concepts, techniques, and applications in logic, mathematics, and algorithms.

Hoeffding's Inequality

Explores Hoeffding's inequality and its applications in probability theory and statistical analysis.

Optimal Transport: Heat Equation and Metric Spaces

Explores optimal transport in heat equations and metric spaces.

Uniform Integrability and Convergence

Explores uniform integrability, convergence theorems, and the importance of bounded sequences in understanding the convergence of random variables.

Generalization Error

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

Zig Zag Lemma

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Multivariate Statistics: Wishart and Hotelling T²

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