25 citations · 52 across the 18 of their papers we have counts for
22 papers
Interpretable Causal Graphical Models for Equilibrium Systems with Confounding
Kai Z. Teh, Kayvan Sadeghi, Terry Soo
In applications, quantities of interest are often modelled in equilibrium or an equilibrium solution is sought. The presence of confounding makes causal inference in this setting c…
Towards Robust Causal Effect Identification Beyond Markov Equivalence
Kai Z. Teh, Kayvan Sadeghi, Terry Soo
Causal effect identification typically requires a fully specified causal graph, which can be difficult to obtain in practice. We provide a sufficient criterion for identifying caus…
A General Framework on Conditions for Constraint-based Causal Learning
Kai Z. Teh, Kayvan Sadeghi, Terry Soo
Most constraint-based causal learning algorithms provably return the correct causal graph under certain correctness conditions, such as faithfulness. By representing any constraint…
Localised Natural Causal Learning Algorithms for Weak Consistency Conditions
Kai Z Teh, Kayvan Sadeghi, Terry Soo
By relaxing conditions for natural structure learning algorithms, a family of constraint-based algorithms containing all exact structure learning algorithms under the faithfulness…
Axiomatization of Interventional Probability Distributions
Kayvan Sadeghi, Terry Soo
Causal intervention is an essential tool in causal inference. It is axiomatized under the rules of do-calculus in the case of structure causal models. We provide simple axiomatizat…
Sinai factors of nonsingular systems: Bernoulli shifts and Anosov flows
Zemer Kosloff, Terry Soo
We show that a totally dissipative system has all nonsingular systems as factors, but that this is no longer true when the factor maps are required to be finitary. In particular, i…