Causal Inference

Causal inference is the task of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect.

( Image credit: Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 176–200 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning	Feb 1, 2021	BIG-bench Machine LearningCausal Inference	CodeCode Available	1	5
A Structural Causal Model for MR Images of Multiple Sclerosis	Mar 4, 2021	Causal Inferencecounterfactual	CodeCode Available	1	5
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images	Sep 30, 2023	Causal InferenceEarth Observation	CodeCode Available	1	5
A Survey of Deep Causal Models and Their Industrial Applications	Sep 19, 2022	Causal Inferencecounterfactual	CodeCode Available	1	5
A framework for causal segmentation analysis with machine learning in large-scale digital experiments	Nov 1, 2021	Causal Inference	CodeCode Available	1	5
Causal Knowledge Guided Societal Event Forecasting	Dec 10, 2021	Causal Inference	CodeCode Available	1	5
Long Story Short: Omitted Variable Bias in Causal Machine Learning	Dec 26, 2021	BIG-bench Machine LearningCausal Inference	CodeCode Available	1	5
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference	Jan 6, 2021	Causal Inferencefeature selection	CodeCode Available	1	5
A Survey on Causal Inference for Recommendation	Mar 21, 2023	Causal Inferencecounterfactual	CodeCode Available	1	5
Disentangling ID and Modality Effects for Session-based Recommendation	Apr 19, 2024	Causal Inferencecounterfactual	CodeCode Available	1	5
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events	Dec 3, 2024	ArticlesCausal Inference	CodeCode Available	1	5
Estimating individual treatment effect: generalization bounds and algorithms	Jun 13, 2016	Causal InferenceGeneralization Bounds	CodeCode Available	1	5
CausalNLP: A Practical Toolkit for Causal Inference with Text	Jun 15, 2021	Causal Inference	CodeCode Available	1	5
Invariant Causal Prediction for Block MDPs	Mar 12, 2020	Causal InferencePrediction	CodeCode Available	1	5
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal	Aug 24, 2023	Causal Inference	CodeCode Available	1	5
REX: Causal Discovery based on Machine Learning and Explainability techniques	Jan 22, 2025	Causal DiscoveryCausal Inference	CodeCode Available	1	5
Counterfactual Prediction Under Selective Confounding	Oct 21, 2023	AllCausal Inference	CodeCode Available	0	5
Counterfactual Mean Embeddings	May 22, 2018	Causal Inferencecounterfactual	CodeCode Available	0	5
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training	Apr 9, 2024	Causal Inferencecounterfactual	CodeCode Available	0	5
Covariate balancing using the integral probability metric for causal inference	May 23, 2023	Causal Inferenceregression	CodeCode Available	0	5
An Efficient Approach for Optimizing the Cost-effective Individualized Treatment Rule Using Conditional Random Forest	Apr 23, 2022	Causal Inference	CodeCode Available	0	5
Adaptive Nonparametric Perturbations of Parametric Bayesian Models	Dec 14, 2024	Bayesian InferenceCausal Inference	CodeCode Available	0	5
Ancestral Causal Inference	Jun 22, 2016	Causal DiscoveryCausal Inference	CodeCode Available	0	5
A Multi-level Neural Network for Implicit Causality Detection in Web Texts	Aug 18, 2019	Causal InferenceFeature Engineering	CodeCode Available	0	5
Counterfactually Comparing Abstaining Classifiers	May 17, 2023	Causal Inferencecounterfactual	CodeCode Available	0	5

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All datasets IHDP Jobs IDHP

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Random Forest	Average Treatment Effect Error	0.96	—	Unverified
2	Balancing Linear Regression	Average Treatment Effect Error	0.93	—	Unverified
3	k-NN	Average Treatment Effect Error	0.79	—	Unverified
4	CEVAE	Average Treatment Effect Error	0.46	—	Unverified
5	Balancing Neural Network	Average Treatment Effect Error	0.42	—	Unverified
6	Causal Forest	Average Treatment Effect Error	0.4	—	Unverified
7	BCAUS DR	Average Treatment Effect Error	0.29	—	Unverified
8	TARNet	Average Treatment Effect Error	0.28	—	Unverified
9	Counterfactual Regression + WASS	Average Treatment Effect Error	0.27	—	Unverified
10	MTDL-KNN	Average Treatment Effect Error	0.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CFR WASS	Average Treatment Effect on the Treated Error	0.09	—	Unverified
2	CFR MMD	Average Treatment Effect on the Treated Error	0.08	—	Unverified
3	BART	Average Treatment Effect on the Treated Error	0.08	—	Unverified
4	GANITE	Average Treatment Effect on the Treated Error	0.06	—	Unverified
5	BCAUSS	Average Treatment Effect on the Treated Error	0.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART	Average Treatment Effect Error	0.34	—	Unverified
2	OLS with separate regressors for each treatment	Average Treatment Effect Error	0.31	—	Unverified
3		Average Treatment Effect Error	-0.23	—	Unverified