Tag: Concept

The balance between maintaining high accuracy in predictions and ensuring fairness across different demographic groups.

A Gaussian Process is a collection of random variables, any finite number of which have a joint Gaussian distribution, used for regression and classification tasks.

The principle of ensuring that classification models do not discriminate against individuals based on sensitive attributes.

A privacy-preserving technique that allows data to be collected and analyzed while ensuring that individual data points remain confidential.

Global attribution methods are techniques used to assign importance scores to features based on their contribution to the model’s predictions across the entire dataset.

Explainable AI refers to methods and techniques that make the outputs of AI models understandable to humans.

Classifiers that aim to maximize accuracy while minimizing discrimination against sensitive groups.

A statistical phenomenon where the value of an observation is only partially known, often occurring in survival analysis when subjects drop out or are lost to follow-up.

A function is Lipschitz if there exists a constant such that the absolute difference between the function values is bounded by this constant times the distance between the inputs.

A function is convex if the line segment between any two points on the graph of the function lies above or on the graph.