An ensemble of hypernetworks generates driver-specific linear utility weights for ride acceptance, improving calibration while preserving interpretability.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks
An ensemble of hypernetworks generates driver-specific linear utility weights for ride acceptance, improving calibration while preserving interpretability.