Compression: PredictionCovers the concepts of compression and prediction using prefix-free codes and distributions.
Generalization ErrorExplores generalization error in machine learning, focusing on data distribution and hypothesis impact.
Exploration BiasExplores regularization, learning algorithms, and subgaussian assumptions in machine learning.
Exploration BiasExplores the concept of exploration bias and its impact on data.
Generalization ErrorExplores tail bounds, information bounds, and maximal leakage in the context of generalization error.
Generalization ErrorDiscusses mutual information, data processing inequality, and properties related to leakage in discrete systems.
