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 576–600 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder	Oct 3, 2023	Causal Inference	—Unverified	0
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference	Oct 3, 2023	Causal Inferenceregression	—Unverified	0
Logical Bias Learning for Object Relation Prediction	Oct 1, 2023	Causal InferenceDecision Making	—Unverified	0
Towards Causal Foundation Model: on Duality between Causal Inference and Attention	Oct 1, 2023	Causal Inference	—Unverified	0
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
Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator	Sep 27, 2023	Causal Inference	CodeCode Available	0
Neural Network Parameter-optimization of Gaussian pmDAGs	Sep 25, 2023	Causal IdentificationCausal Inference	CodeCode Available	0
Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks	Sep 23, 2023	Causal DiscoveryCausal Inference	—Unverified	0
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic	Sep 23, 2023	Causal Inference	CodeCode Available	1
OpportunityFinder: A Framework for Automated Causal Inference	Sep 22, 2023	Causal Inference	—Unverified	0
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments	Sep 22, 2023	Causal Inferencecounterfactual	—Unverified	0
Toolbox for Multimodal Learn (scikit-multimodallearn)	Sep 21, 2023	Causal Inference	—Unverified	0
Toolbox for Multimodal Learn (scikit-multimodallearn)	Sep 21, 2023	Causal Inference	—Unverified	0
Extracting Physical Causality from Measurements to Detect and Localize False Data Injection Attacks	Sep 21, 2023	Causal InferenceGraph Attention	—Unverified	0
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets	Sep 21, 2023	Causal DiscoveryCausal Inference	—Unverified	0
Partially Specified Causal Simulations	Sep 19, 2023	Causal DiscoveryCausal Inference	—Unverified	0
Causal Discovery and Counterfactual Explanations for Personalized Student Learning	Sep 18, 2023	Causal DiscoveryCausal Inference	—Unverified	0
The role of causality in explainable artificial intelligence	Sep 18, 2023	Causal DiscoveryCausal Identification	—Unverified	0
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity	Sep 17, 2023	Causal Inferencecounterfactual	—Unverified	0
MPEG: A Multi-Perspective Enhanced Graph Attention Network for Causal Emotion Entailment in Conversations	Sep 15, 2023	Causal Emotion EntailmentCausal Inference	CodeCode Available	0
Causal inference in network experiments: regression-based analysis and design-based properties	Sep 14, 2023	Causal Inferenceregression	—Unverified	0
MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme	Sep 13, 2023	Causal InferenceTime Series	—Unverified	0
Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry	Sep 11, 2023	Causal InferenceDecision Making	—Unverified	0
Inferring physical laws by artificial intelligence based causal models	Sep 8, 2023	Causal Inferencescientific discovery	—Unverified	0
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions	Sep 7, 2023	Causal InferenceSelection bias	—Unverified	0

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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