ServiceNow Research

Bayesian Uncertainty

Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation
The practical utility of causality in decision-making is widely recognized, with causal discovery and inference being inherently …
Constraining Low-level Representations to Define Effective Confidence Scores
Neural networks are known to fail with high confidence, especially for data that somehow differs from the training distribution. Such …