Results for "Shapley values"

Measure of consistency across labelers; low agreement indicates ambiguous tasks or poor guidelines.

Standardized documentation describing intended use, performance, limitations, data, and ethical considerations.

Systematic error introduced by simplifying assumptions in a learning algorithm.

Allows model to attend to information from different subspaces simultaneously.

Estimating parameters by maximizing likelihood of observed data.

Stores past attention states to speed up autoregressive decoding.

Set of all actions available to the agent.

Fundamental recursive relationship defining optimal value functions.

Expected cumulative reward from a state or state-action pair.

Sequential data indexed by time.

Learning from data generated by a different policy.

Persistent directional movement over time.

Decomposes a matrix into orthogonal components; used in embeddings and compression.

Describes likelihoods of random variable outcomes.

Measure of vector magnitude; used in regularization and optimization.

Average value under a distribution.

Measure of spread around the mean.

Visualization of optimization landscape.

Alternative formulation providing bounds.

Tendency for agents to pursue resources regardless of final goal.

Ensuring learned behavior matches intended objective.

Learned subsystem that optimizes its own objective.

Model behaves well during training but not deployment.

Maintaining alignment under new conditions.

Using limited human feedback to guide large models.

Review process before deployment.

Humans assist or override autonomous behavior.

Testing AI under actual clinical conditions.

Risk of incorrect financial models.

Truthful bidding is optimal strategy.