Mathematics and Statistics

Brings together the mathematics and statistics on which the field rests: linear algebra, calculus, probability, statistical inference, estimation and distributions. Excludes learning guarantees and generalization limits, which belong to 2.2, optimization algorithms, which belong to 2.3, and probabilistic and causal models as a school, which belong to 3.2.

• 2.2 Computational Learning Theory
• 2.3 Optimization and Algorithms
• 3.2 Probabilistic and Causal AI

• 2.2 Computational Learning Theory
• 2.3 Optimization and Algorithms
• 2.4 Information and Complexity
• 2.5 Logic, Knowledge Representation and Reasoning
• 2.6 Decision and Game Theory
• 2.7 Computational Linguistics
• 2.8 Cognition and Computational Neuroscience
• 2.9 Human–Computer Interaction
• 2.10 Philosophy of AI