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 1401–1425 of 1722 papers

Title	Date	Tasks	Status
Valid causal inference with unobserved confounding in high-dimensional settings	Jan 12, 2024	Causal InferenceModel Selection	CodeCode Available
Detecting and Measuring Confounding Using Causal Mechanism Shifts	Sep 26, 2024	Causal DiscoveryCausal Inference	CodeCode Available
Detecting clinician implicit biases in diagnoses using proximal causal inference	Jan 27, 2025	AttributeCausal Inference	CodeCode Available
Detecting hidden confounding in observational data using multiple environments	May 27, 2022	Causal Inference	CodeCode Available
Removing systematic errors for exoplanet search via latent causes	May 12, 2015	AstronomyCausal Inference	CodeCode Available
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions	Mar 24, 2023	Causal InferenceExperimental Design	CodeCode Available
Representation Learning for Treatment Effect Estimation from Observational Data	Dec 1, 2018	Causal InferenceRepresentation Learning	CodeCode Available
Is machine learning good or bad for the natural sciences?	May 28, 2024	Causal InferencePhilosophy	CodeCode Available
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects	Jun 8, 2020	Causal InferencePhilosophy	CodeCode Available
Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models	Jan 10, 2019	Causal Inferenceimage-classification	CodeCode Available
On the Identifiability and Estimation of Causal Location-Scale Noise Models	Oct 13, 2022	Causal DiscoveryCausal Inference	CodeCode Available
From Images to Insights: Explainable Biodiversity Monitoring with Plain Language Habitat Explanations	Jun 12, 2025	Causal Inference	CodeCode Available
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand	Feb 12, 2024	Causal InferenceDisentanglement	CodeCode Available
Diffusion Model in Causal Inference with Unmeasured Confounders	Aug 7, 2023	Causal Inferencecounterfactual	CodeCode Available
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference	Mar 2, 2024	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials	May 24, 2019	Causal InferenceDensity Estimation	CodeCode Available
On the Mechanistic Interpretability of Neural Networks for Causality in Bio-statistics	May 1, 2025	Causal Inference	CodeCode Available
Direct-Effect Risk Minimization for Domain Generalization	Nov 26, 2022	Causal InferenceDomain Generalization	CodeCode Available
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data	Jun 4, 2022	Causal Inferencevalid	CodeCode Available
Generalized Random Forests using Fixed-Point Trees	Jun 20, 2023	Causal InferenceComputational Efficiency	CodeCode Available
On the Out-of-Distribution Generalization of Self-Supervised Learning	May 22, 2025	Causal InferenceOut-of-Distribution Generalization	CodeCode Available
Kernel-based estimators for functional causal effects	Mar 6, 2025	Causal Inference	CodeCode Available
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders	Oct 11, 2022	Causal Inference	CodeCode Available
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid	Sep 27, 2021	Causal InferenceDesign Synthesis	CodeCode Available
Compositional Probabilistic and Causal Inference using Tractable Circuit Models	Apr 17, 2023	Causal Inference	CodeCode Available

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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