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 326–350 of 1722 papers

Title	Date	Tasks	Status	Score
Debiasing Recommendation by Learning Identifiable Latent Confounders	Feb 10, 2023	Causal Inferencecounterfactual	CodeCode Available	5
Generalized Random Forests using Fixed-Point Trees	Jun 20, 2023	Causal InferenceComputational Efficiency	CodeCode Available	5
DecoR: Deconfounding Time Series with Robust Regression	Jun 11, 2024	Causal Inferenceregression	CodeCode Available	5
DAG-aware Transformer for Causal Effect Estimation	Oct 13, 2024	Causal Inference	CodeCode Available	5
Causal Discovery using Compression-Complexity Measures	Oct 19, 2020	Causal DiscoveryCausal Inference	CodeCode Available	5
A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients	Sep 14, 2021	Causal Inference	CodeCode Available	5
Argumentative Causal Discovery	May 18, 2024	Causal DiscoveryCausal Inference	CodeCode Available	5
Double Cross-fit Doubly Robust Estimators: Beyond Series Regression	Mar 22, 2024	Causal Inferenceregression	CodeCode Available	5
Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data	Apr 17, 2017	Causal Inference	CodeCode Available	5
Counterfactual Prediction Under Selective Confounding	Oct 21, 2023	AllCausal Inference	CodeCode Available	5
Causal fault localisation in dataflow systems	Apr 24, 2023	Causal Inference	CodeCode Available	5
Causal Feature Learning in the Social Sciences	Mar 17, 2025	Causal InferenceVariable Selection	CodeCode Available	5
Detecting and Measuring Confounding Using Causal Mechanism Shifts	Sep 26, 2024	Causal DiscoveryCausal Inference	CodeCode Available	5
A Fast Bootstrap Algorithm for Causal Inference with Large Data	Feb 6, 2023	Causal InferenceComputational Efficiency	CodeCode Available	5
A Practical Approach to Causal Inference over Time	Oct 14, 2024	Causal InferenceEconometrics	CodeCode Available	5
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference	Mar 2, 2024	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials	May 24, 2019	Causal InferenceDensity Estimation	CodeCode Available	5
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training	Apr 9, 2024	Causal Inferencecounterfactual	CodeCode Available	5
Causal Discovery in Linear Structural Causal Models with Deterministic Relations	Oct 30, 2021	Causal DiscoveryCausal Inference	CodeCode Available	5
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems	Feb 23, 2022	Causal InferenceDataset Generation	CodeCode Available	5
Approaching an unknown communication system by latent space exploration and causal inference	Mar 20, 2023	Causal InferenceDisentanglement	CodeCode Available	5
Counterfactually Comparing Abstaining Classifiers	May 17, 2023	Causal Inferencecounterfactual	CodeCode Available	5
Causal discovery for observational sciences using supervised machine learning	Feb 25, 2022	BIG-bench Machine LearningCausal Discovery	CodeCode Available	5
Adversarial Balancing for Causal Inference	Oct 17, 2018	Causal Inference	CodeCode Available	5
AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs	Mar 6, 2024	Causal DiscoveryCausal Inference	CodeCode Available	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