Stanford CS329H: ML from Human Preferences | Autumn 2024 | Model-based Preference Optimization
Stanford Online · 82:48
Metric elicitation treats “which evaluation metric should a classifier optimize?” as a preference-learning problem: for binary cost-sensitive classification, stakeholder trade-offs over false positives vs. false negat...