Results for "controlled updates"

Updating beliefs about parameters using observed evidence and prior distributions.

Gradually increasing learning rate at training start to avoid divergence.

Optimization using curvature information; often expensive at scale.

Matrix of second derivatives describing local curvature of loss.

Monte Carlo method for state estimation.

Running new model alongside production without user impact.

Temporary reasoning space (often hidden).

Acting to minimize surprise or free energy.