17 citations · 24 across the 6 of their papers we have counts for
4 papers · 1 filter
Automated Discovery of Functional Actual Causes in Complex Environments
Caleb Chuck, Sankaran Vaidyanathan, Stephen Giguere +3
Reinforcement learning (RL) algorithms often struggle to learn policies that generalize to novel situations due to issues such as causal confusion, overfitting to irrelevant factor…
Algorithmic Robustness
David Jensen, Brian LaMacchia, Ufuk Topcu +1
Algorithmic robustness refers to the sustained performance of a computational system in the face of change in the nature of the environment in which that system operates or in the…
Evaluating Causal Models by Comparing Interventional Distributions
Dan Garant, David Jensen
The predominant method for evaluating the quality of causal models is to measure the graphical accuracy of the learned model structure. We present an alternative method for evaluat…
Identifying Independence in Relational Models
Marc Maier, David Jensen
The rules of d-separation provide a framework for deriving conditional independence facts from model structure. However, this theory only applies to simple directed graphical model…