Keyword

structural causal models

Description: Structural causal models are mathematical representations of systems that specify causal relationships among variables and support causal inference.

Primary topic: Bayesian Modeling and Causal Inference (21%)

Wikidata ID: wiki/Q5054567

OpenAlex ID: keywords/structural-causal-models

Principles and Practice of Structural Equation Modeling

1998 · Rex B. Kline · 36,041

Causal inference in statistics: An overview

2009 · Judea Pearl · Statistics Surveys · 2,328

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An Introduction to Causal Inference

2010 · Judea Pearl · The International Journal of Biostatistics · 753

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A structural model of the effects of entrepreneurial characteristics on venture performance

1993 · Lanny Herron, Richard B. Robinson · Journal of Business Venturing · 426

Causal Intervention for Weakly-Supervised Semantic Segmentation

2020 · Zhang, Dong, Zhang, Hanwang, et al. · arXiv (Cornell University) · 353

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Explainable Reinforcement Learning Through a Causal Lens

2020 · Madumal, Prashan, Miller, Tim, et al. · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 266

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CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models

2021 · Mengyue Yang, Furui Liu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 255

Causality Inspired Representation Learning for Domain Generalization

2022 · Fangrui Lv, Jian Liang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 237

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Fairness in Decision-Making — The Causal Explanation Formula

2018 · Junzhe Zhang, Elias Bareinboim · Proceedings of the AAAI Conference on Artificial Intelligence · 202

Contrastive explanation: a structural-model approach

2021 · Tim Miller · The Knowledge Engineering Review · 186

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Interventional Few-Shot Learning

2020 · Yue, Zhongqi, Zhang, Hanwang, et al. · arXiv (Cornell University) · 183

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Probabilities of causation: Bounds and identification

2000 · Jin Tian, Judea Pearl · Annals of Mathematics and Artificial Intelligence · 175

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Domain Generalization using Causal Matching

2020 · Mahajan, Divyat, Tople, Shruti, et al. · arXiv (Cornell University) · 165

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Applying the structural causal model framework for observational causal inference in ecology

2022 · Suchinta Arif, M. Aaron MacNeil · Ecological Monographs · 153

Causal Disentanglement Domain Generalization for time-series signal fault diagnosis

2024 · Linshan Jia, Tommy W.S. Chow, et al. · Neural Networks · 136

Deep causal factorization network: A novel domain generalization method for cross-machine bearing fault diagnosis

2023 · Sixiang Jia, Yongbo Li, et al. · Mechanical Systems and Signal Processing · 136

Counterfactual Vision and Language Learning

2020 · Ehsan Abbasnejad, Damien Teney, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 130

Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review

2024 · Bénédicte Colnet, Imke Mayer, et al. · Statistical Science · 127

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TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

2022 · Hollmann, Noah, Müller, Samuel, et al. · arXiv (Cornell University) · 124

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Input-Output Analyses of Schools

1981 · Naftaly S. Glasman, Israel Biniaminov · Review of Educational Research · 99

Deep Structural Causal Models for Tractable Counterfactual Inference

2020 · Pawlowski, Nick, Castro, Daniel C., et al. · arXiv (Cornell University) · 96

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Complexity results for structure-based causality