
Spectral Ranking of Causal Influence in Complex Systems
Like natural complex systems such as the Earth's climate or a living cel...
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Inferring the Direction of a Causal Link and Estimating Its Effect via a Bayesian Mendelian Randomization Approach
The use of genetic variants as instrumental variables  an approach know...
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MASSIVE: Tractable and Robust Bayesian Learning of ManyDimensional Instrumental Variable Models
The recent availability of huge, manydimensional data sets, like those ...
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Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
Shapley values underlie one of the most popular modelagnostic methods w...
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ConstraintBased Causal Discovery using Partial Ancestral Graphs in the presence of Cycles
While feedback loops are known to play important roles in many complex s...
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ConstraintBased Causal Discovery In The Presence Of Cycles
While feedback loops are known to play important roles in many complex s...
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LargeScale Gene Network Causal Inference with Bayes Factors of Covariance Structures (BFCS)
Gene regulatory networks play a crucial role in controlling an organism'...
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A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks
Gene regulatory networks play a crucial role in controlling an organism'...
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Causal Transfer Learning
An important goal in both transfer learning and causal inference is to m...
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Robust Causal Estimation in the LargeSample Limit without Strict Faithfulness
Causal effect estimation from observational data is an important and muc...
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Joint Causal Inference from Observational and Experimental Datasets
We introduce Joint Causal Inference (JCI), a powerful formulation of cau...
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Ancestral Causal Inference
Constraintbased causal discovery from limited data is a notoriously dif...
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Proof Supplement  Learning Sparse Causal Models is not NPhard (UAI2013)
This article contains detailed proofs and additional examples related to...
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Learning Sparse Causal Models is not NPhard
This paper shows that causal model discovery is not an NPhard problem, ...
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A Bayesian Approach to Constraint Based Causal Inference
We target the problem of accuracy and robustness in causal inference fro...
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A Logical Characterization of ConstraintBased Causal Discovery
We present a novel approach to constraintbased causal discovery, that t...
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Tom Claassen
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