69 citations · 235 across the 19 of their papers we have counts for
9 papers · 1 filter
Natural Counterfactuals With Necessary Backtracking
Guang-Yuan Hao, Jiji Zhang, Biwei Huang +2
Counterfactual reasoning is pivotal in human cognition and especially important for providing explanations and making decisions. While Judea Pearl's influential approach is theoret…
Markov categories, causal theories, and the do-calculus
Yimu Yin, Jiji Zhang
We give a category-theoretic treatment of causal models that formalizes the syntax for causal reasoning over a directed acyclic graph (DAG) by associating a free Markov category wi…
Ancestral Instrument Method for Causal Inference without Complete Knowledge
Debo Cheng, Jiuyong Li, Lin Liu +3
Unobserved confounding is the main obstacle to causal effect estimation from observational data. Instrumental variables (IVs) are widely used for causal effect estimation when ther…
Causal Identification under Markov Equivalence
Amin Jaber, Jiji Zhang, Elias Bareinboim
Assessing the magnitude of cause-and-effect relations is one of the central challenges found throughout the empirical sciences. The problem of identification of causal effects is c…
Discovery and Visualization of Nonstationary Causal Models
Kun Zhang, Biwei Huang, Jiji Zhang +2
It is commonplace to encounter nonstationary data, of which the underlying generating process may change over time or across domains. The nonstationarity presents both challenges a…
Distinguishing Cause from Effect Based on Exogeneity
Kun Zhang, Jiji Zhang, Bernhard Schölkopf
Recent developments in structural equation modeling have produced several methods that can usually distinguish cause from effect in the two-variable case. For that purpose, however…