Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success.

Catherine Kung Renzhe Yu

Published in: L@S (2020)

Keyphrases

neural network
computational complexity
prior knowledge
statistical models
three dimensional
multiscale
recommender systems
computational cost
probability distribution
prediction accuracy
complex systems
process model
resource allocation
bayesian framework