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 726–750 of 1722 papers

Title	Date	Tasks	Status	Hype
Counterfactually Fair Regression with Double Machine Learning	Mar 21, 2023	Causal Inferencecounterfactual	—Unverified	0
Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimation	Mar 20, 2023	Causal InferenceRepresentation Learning	CodeCode Available	1
Approaching an unknown communication system by latent space exploration and causal inference	Mar 20, 2023	Causal InferenceDisentanglement	CodeCode Available	0
Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward?	Mar 14, 2023	Causal Inference	—Unverified	0
Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review	Mar 13, 2023	ArticlesCausal Inference	—Unverified	0
Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment	Mar 8, 2023	Causal Inferenceregression	—Unverified	0
Inference on Optimal Dynamic Policies via Softmax Approximation	Mar 8, 2023	Causal InferenceDecision Making	CodeCode Available	0
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning	Mar 7, 2023	Causal InferenceConformal Prediction	CodeCode Available	0
Environment Invariant Linear Least Squares	Mar 6, 2023	Causal Inferenceregression	CodeCode Available	0
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders	Mar 4, 2023	Causal InferenceIrregular Time Series	—Unverified	0
PAGE: A Position-Aware Graph-Based Model for Emotion Cause Entailment in Conversation	Mar 3, 2023	Causal Emotion EntailmentCausal Inference	CodeCode Available	1
Continual Causal Inference with Incremental Observational Data	Mar 3, 2023	Causal Inferencecounterfactual	—Unverified	0
Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation	Mar 2, 2023	Causal InferenceModel Selection	CodeCode Available	0
Learning high-dimensional causal effect	Mar 1, 2023	Causal InferenceVocal Bursts Intensity Prediction	CodeCode Available	0
Representation Disentaglement via Regularization by Causal Identification	Feb 28, 2023	Causal IdentificationCausal Inference	—Unverified	0
Q-Cogni: An Integrated Causal Reinforcement Learning Framework	Feb 26, 2023	Causal InferenceDecision Making	—Unverified	0
Mitigating Observation Biases in Crowdsourced Label Aggregation	Feb 25, 2023	Causal Inference	—Unverified	0
Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning	Feb 24, 2023	Causal InferenceEconometrics	—Unverified	0
Variable Importance Matching for Causal Inference	Feb 23, 2023	Causal InferenceFeature Importance	CodeCode Available	0
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference	Feb 22, 2023	Causal Inferencecounterfactual	—Unverified	0
Modular Deep Learning	Feb 22, 2023	Causal InferenceDeep Learning	—Unverified	0
Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect	Feb 20, 2023	Causal InferenceDiversity	—Unverified	0
Estimating Treatment Effects in Continuous Time with Hidden Confounders	Feb 19, 2023	Causal InferenceDecision Making	—Unverified	0
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback	Feb 18, 2023	Causal Inferenceregression	—Unverified	0
Causal Inference out of Control: Estimating the Steerability of Consumption	Feb 10, 2023	Causal InferenceEconometrics	—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