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 1251–1275 of 1722 papers

Title	Date	Tasks	Status	Hype
Intact-VAE: Estimating Treatment Effects under Unobserved Confounding	Jan 17, 2021	Causal InferenceRepresentation Learning	—Unverified	0
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification	Jan 11, 2021	Causal Emotion EntailmentCausal Inference	CodeCode Available	0
Entropic Causal Inference: Identifiability and Finite Sample Results	Jan 10, 2021	Causal IdentificationCausal Inference	—Unverified	0
A design of human-like robust AI machines in object identification	Jan 7, 2021	Causal InferenceCommon Sense Reasoning	—Unverified	0
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference	Jan 6, 2021	Causal Inferencefeature selection	CodeCode Available	1
The Value Added of Machine Learning to Causal Inference: Evidence from Revisited Studies	Jan 4, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0
Invariant Representations for Reinforcement Learning without Reconstruction	Jan 1, 2021	Causal InferenceMuJoCo	—Unverified	0
Causal Probabilistic Spatio-temporal Fusion Transformers in Two-sided Ride-Hailing Markets	Jan 1, 2021	Causal Inference	—Unverified	0
Counterfactual Thinking for Long-tailed Information Extraction	Jan 1, 2021	Causal Inferencecounterfactual	—Unverified	0
Estimating Treatment Effects via Orthogonal Regularization	Jan 1, 2021	Causal InferenceDecision Making	—Unverified	0
Latent Convergent Cross Mapping	Jan 1, 2021	Causal InferenceTime Series	—Unverified	0
Variational Deterministic Uncertainty Quantification	Jan 1, 2021	Causal Inferenceregression	—Unverified	0
The wealth of nations and the health of populations: A quasi-experimental design of the impact of sovereign debt crises on child mortality	Dec 29, 2020	Causal InferenceExperimental Design	—Unverified	0
Causal Inference from Slowly Varying Nonstationary Processes	Dec 23, 2020	Causal DiscoveryCausal Identification	—Unverified	0
A Computational Framework for Solving Nonlinear Binary OptimizationProblems in Robust Causal Inference	Dec 22, 2020	Causal InferenceDecision Making	—Unverified	0
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem	Dec 19, 2020	BIG-bench Machine LearningCausal Inference	—Unverified	0
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness	Dec 18, 2020	Causal InferenceFairness	—Unverified	0
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models	Dec 18, 2020	Causal Inferencevalid	—Unverified	0
Causality-Aware Neighborhood Methods for Recommender Systems	Dec 17, 2020	Causal InferenceRecommendation Systems	—Unverified	0
Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study	Dec 16, 2020	Causal InferenceTime Series Analysis	—Unverified	0
Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference	Dec 9, 2020	Causal InferenceGaussian Processes	—Unverified	0
Causal Inference in Geosciences with Kernel Sensitivity Maps	Dec 7, 2020	Causal Inferenceregression	—Unverified	0
Causal Inference in Geoscience and Remote Sensing from Observational Data	Dec 7, 2020	Causal Inferenceregression	—Unverified	0
Optimal Policy Trees	Dec 3, 2020	Causal Inferencecounterfactual	—Unverified	0
Intervention Design for Effective Sim2Real Transfer	Dec 3, 2020	Causal InferenceData Augmentation	CodeCode Available	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