Co-occurring keywords · papers mentioning both
Papers
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
AISTATS 2025
Identifiability of total effects from abstractions of time series causal graphs
UAI 2024
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
UAI 2024
Finding and Listing Front-door Adjustment Sets
NeurIPS 2022
Learning Adjustment Sets from Observational and Limited Experimental Data
AAAI 2021
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
NeurIPS 2021
Data-driven covariate selection for nonparametric estimation of causal effects
AISTATS 2013