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 276–300 of 1722 papers

Title	Date	Tasks	Status	Score
Deep Learning-based Group Causal Inference in Multivariate Time-series	Jan 16, 2024	Causal InferenceDeep Learning	CodeCode Available	5
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning	Oct 10, 2022	Causal InferenceDeep Learning	CodeCode Available	5
On the power of conditional independence testing under model-X	May 12, 2020	Causal InferenceLEMMA	CodeCode Available	5
Deep Counterfactual Networks with Propensity-Dropout	Jun 19, 2017	Causal Inferencecounterfactual	CodeCode Available	5
Detecting hidden confounding in observational data using multiple environments	May 27, 2022	Causal Inference	CodeCode Available	5
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets	Jan 1, 2018	Causal Inferencecounterfactual	CodeCode Available	5
A Fundamental Probabilistic Fuzzy Logic Framework Suitable for Causal Reasoning	May 30, 2022	AttributeCausal Inference	CodeCode Available	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	5
DAG-aware Transformer for Causal Effect Estimation	Oct 13, 2024	Causal Inference	CodeCode Available	5
Debiasing Recommendation by Learning Identifiable Latent Confounders	Feb 10, 2023	Causal Inferencecounterfactual	CodeCode Available	5
Covariate balancing using the integral probability metric for causal inference	May 23, 2023	Causal Inferenceregression	CodeCode Available	5
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis	Oct 28, 2022	Causal InferenceMedical Image Analysis	CodeCode Available	5
A Survey on Causal Inference	Feb 5, 2020	BIG-bench Machine LearningCausal Inference	CodeCode Available	5
Counterfactual Prediction Under Selective Confounding	Oct 21, 2023	AllCausal Inference	CodeCode Available	5
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification	Jan 11, 2021	Causal Emotion EntailmentCausal Inference	CodeCode Available	5
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training	Apr 9, 2024	Causal Inferencecounterfactual	CodeCode Available	5
Counterfactual Mean Embeddings	May 22, 2018	Causal Inferencecounterfactual	CodeCode Available	5
A Brief Review of Hypernetworks in Deep Learning	Jun 12, 2023	Causal InferenceContinual Learning	CodeCode Available	5
Counterfactual Fairness	Mar 20, 2017	BIG-bench Machine LearningCausal Inference	CodeCode Available	5
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding	Feb 4, 2024	Causal InferenceDimensionality Reduction	CodeCode Available	5
Counterfactually Comparing Abstaining Classifiers	May 17, 2023	Causal Inferencecounterfactual	CodeCode Available	5
DecoR: Deconfounding Time Series with Robust Regression	Jun 11, 2024	Causal Inferenceregression	CodeCode Available	5
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data	Jun 9, 2022	Causal Inferencestatistical independence testing	CodeCode Available	5
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems	Feb 23, 2022	Causal InferenceDataset Generation	CodeCode Available	5
CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models	Dec 20, 2023	Causal InferenceCommon Sense Reasoning	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