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
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 Structural Causal Model for MR Images of Multiple Sclerosis	Mar 4, 2021	Causal Inferencecounterfactual	CodeCode Available	1	5
Causal intersectionality for fair ranking	Jun 15, 2020	Causal InferenceFairness	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
On Root Cause Localization and Anomaly Mitigation through Causal Inference	Dec 8, 2022	Anomaly DetectionCausal Inference	CodeCode Available	1	5
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework	Jun 12, 2024	BenchmarkingCausal 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
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events	Dec 3, 2024	ArticlesCausal Inference	CodeCode Available	1	5
Disentangling ID and Modality Effects for Session-based Recommendation	Apr 19, 2024	Causal Inferencecounterfactual	CodeCode Available	1	5
Estimating individual treatment effect: generalization bounds and algorithms	Jun 13, 2016	Causal InferenceGeneralization Bounds	CodeCode Available	1	5
Causal Modeling with Stationary Diffusions	Oct 26, 2023	Causal Inference	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
A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty	May 30, 2024	Causal DiscoveryCausal Inference	CodeCode Available	1	5
Invariant Causal Prediction for Block MDPs	Mar 12, 2020	Causal InferencePrediction	CodeCode Available	1	5
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training	Apr 9, 2024	Causal Inferencecounterfactual	CodeCode Available	0	5
Counterfactual Mean Embeddings	May 22, 2018	Causal Inferencecounterfactual	CodeCode Available	0	5
Counterfactually Comparing Abstaining Classifiers	May 17, 2023	Causal Inferencecounterfactual	CodeCode Available	0	5
Counterfactual Prediction Under Selective Confounding	Oct 21, 2023	AllCausal Inference	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
Counterfactual Fairness	Mar 20, 2017	BIG-bench Machine LearningCausal Inference	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