2 papers
cs.LG2026
Causal Gaussian Processes for Robust Treatment Effect Evaluation with Unobserved Confounding
Junzhe Zhang, Jingyuan Chen, Elias Bareinboim
The presence of confounding bias poses a key challenge in policy evaluation, as the target causal effects of actions are not identifiable (i.e., underdetermined) from observational…
cs.LG2026
Causal Variational Deep Embedding: A Family of Interventional Generators for Confounded Images
Jingyuan Chen, Kangrui Ruan, Junzhe Zhang
Deep generative models reproduce the observational distribution of their training data, inheriting any spurious associations it contains. A common source is an unobserved confounde…