Your Assumed DAG is Wrong and Here's How To Deal With ItCLEaR (CLEaR), 2025 |
 Finding and Listing Front-door Adjustment SetsNeural Information Processing Systems (NeurIPS), 2022 |
 Variable elimination, graph reduction and efficient g-formulaBiometrika (Biometrika), 2022 |
 A note on efficient minimum cost adjustment sets in causal graphical
modelsJournal of Causal Inference (JCI), 2022 |
 Leveraging Causal Graphs for Blocking in Randomized ExperimentsCLEaR (CLEaR), 2021 |
 Incorporating Causal Graphical Prior Knowledge into Predictive Modeling
via Simple Data AugmentationConference on Uncertainty in Artificial Intelligence (UAI), 2021 |
 Necessary and sufficient graphical conditions for optimal adjustment
sets in causal graphical models with hidden variablesNeural Information Processing Systems (NeurIPS), 2021 |
 Efficient least squares for estimating total effects under linearity and
causal sufficiencyJournal of machine learning research (JMLR), 2020 |
