AI Research
Divergence Metrics: Why ML's Future Hinges on Distribution Matches, Not Point Predictions
Forget nailing the average; today's ML demands distributions that mirror reality's mess. Divergence metrics reveal what accuracy hides, from shaky self-driving predictions to flaky image generators.