Results for "structural assumptions"
Causal Inference
Intermediate
Framework for reasoning about cause-effect relationships beyond correlation, often using structural assumptions and experiments.
Semi-Supervised Learning
Intermediate
Training with a small labeled dataset plus a larger unlabeled dataset, leveraging assumptions like smoothness/cluster structure.
Bias Term
Intermediate
Systematic error introduced by simplifying assumptions in a learning algorithm.
Inductive Bias
Intermediate
Built-in assumptions guiding learning efficiency and generalization.
Structural Causal Model
Advanced
Formal model linking causal mechanisms and variables.