2 papers
cs.LG2023
Towards Causal Representation Learning and Deconfounding from Indefinite Data
Hang Chen, Xinyu Yang, Qing Yang
Owing to the cross-pollination between causal discovery and deep learning, non-statistical data (e.g., images, text, etc.) encounters significant conflicts in terms of properties a…
stat.ME2020
Assessing Impact of Unobserved Confounders with Sensitivity Index Probabilities through Pseudo-Experiments
Beilin Jia, Donglin Zeng, Qing Yang +1
Unobserved confounders are a long-standing issue in causal inference using propensity score methods. This study proposed nonparametric indices to quantify the impact of unobserved…