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08/08/2023
SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling
Causal inference is a crucial goal of science, enabling researchers to a...
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11/01/2022
Typical Yet Unlikely: Using Information Theoretic Approaches to Identify Outliers which Lie Close to the Mean
Normality, in the colloquial sense, has historically been considered an ...
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08/09/2022
Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect
Causal identification is at the core of the causal inference literature,...
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06/10/2022
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists
Causality is a fundamental part of the scientific endeavour to understan...
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03/24/2022
Prespecification of Structure for Optimizing Data Collection and Research Transparency by Leveraging Conditional Independencies
Data collection and research methodology represents a critical part of t...
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02/20/2022
Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables
Machine Learning explainability techniques have been proposed as a means...
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02/18/2022
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics
Parameter estimation in the empirical fields is usually undertaken using...
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04/16/2021
Shadow-Mapping for Unsupervised Neural Causal Discovery
An important goal across most scientific fields is the discovery of caus...
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03/12/2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts
Disentangled representations support a range of downstream tasks includi...
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03/03/2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
Causal reasoning is a crucial part of science and human intelligence. In...
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09/21/2020
Limited Functional Form, Misspecification, and Unreliable Interpretations in Psychology and Social Science
The replicability crisis has drawn attention to numerous weaknesses in p...
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02/26/2020
NestedVAE: Isolating Common Factors via Weak Supervision
Fair and unbiased machine learning is an important and active field of r...
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11/15/2019