Uncertainty Quantification and Data Efficiency in AI: An Information-Theoretic Perspective

Osvaldo Simeone, Yaniv Romano

In context-specific applications such as robotics, telecommunications, and healthcare, artificial intelligence systems often face the challenge of limited training data. This scarc…