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Everything about Loss function

Mathematical relation assigning a probability event to a cost

In mathematical optimization and decision theory, a loss function or cost function is a function that maps an event or values of one or more variables onto a real number intuitively representing some "cost" associated with the event. An optimization problem seeks to minimize a loss function. An objective function is either a loss function or its opposite, in which case it is to be maximized. The loss function could include terms from several levels of the hierarchy. Wikipedia →

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📖 Definitions

Noun A function which expresses numerically the loss produced by a decision or other event.

🗂️ The subject at a glance

  1. Examples
  2. Constructing loss and objective functions
  3. Expected loss
  4. Decision rules
  5. Selecting a loss function

🏆 Landmark papers (most cited)

🆕 Influential since 2022

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