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09/01/2023
Establishing Markov Equivalence in Cyclic Directed Graphs
We present a new, efficient procedure to establish Markov equivalence be...
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04/20/2023
Towards a Benchmark for Scientific Understanding in Humans and Machines
Scientific understanding is a fundamental goal of science, allowing us t...
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12/24/2020
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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12/18/2020
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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12/18/2020
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
The recent availability of huge, many-dimensional data sets, like those ...
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11/03/2020
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
Shapley values underlie one of the most popular model-agnostic methods w...
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05/01/2020
Constraint-Based 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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05/01/2020
Constraint-Based Causal Discovery In The Presence Of Cycles
While feedback loops are known to play important roles in many complex s...
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09/03/2019
Large-Scale 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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09/18/2018
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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07/20/2017
Causal Transfer Learning
An important goal in both transfer learning and causal inference is to m...
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04/06/2017
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness
Causal effect estimation from observational data is an important and muc...
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11/30/2016
Joint Causal Inference from Observational and Experimental Datasets
We introduce Joint Causal Inference (JCI), a powerful formulation of cau...
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06/22/2016
Ancestral Causal Inference
Constraint-based causal discovery from limited data is a notoriously dif...
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11/06/2014
Proof Supplement - Learning Sparse Causal Models is not NP-hard (UAI2013)
This article contains detailed proofs and additional examples related to...
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09/26/2013
Learning Sparse Causal Models is not NP-hard
This paper shows that causal model discovery is not an NP-hard problem, ...
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10/16/2012
A Bayesian Approach to Constraint Based Causal Inference
We target the problem of accuracy and robustness in causal inference fro...
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02/14/2012