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 1701–1722 of 1722 papers

Title	Date	Tasks	Status
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution	Jan 11, 2018	BIG-bench Machine LearningCausal Inference	CodeCode Available
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment	May 20, 2022	Causal InferenceFairness	CodeCode Available
Reconciling Predictive Multiplicity in Practice	Jan 27, 2025	Causal InferenceFairness	CodeCode Available
Fair Decisions Despite Imperfect Predictions	Feb 8, 2019	Causal InferenceDecision Making	CodeCode Available
Approaching an unknown communication system by latent space exploration and causal inference	Mar 20, 2023	Causal InferenceDisentanglement	CodeCode Available
Neural Causal Abstractions	Jan 5, 2024	Causal InferenceRepresentation Learning	CodeCode Available
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks	Feb 9, 2019	Causal InferenceVisual Reasoning	CodeCode Available
Neural Score Matching for High-Dimensional Causal Inference	Mar 1, 2022	Causal InferenceVocal Bursts Intensity Prediction	CodeCode Available
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes	Feb 12, 2025	Causal InferenceMarketing	CodeCode Available
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach	Aug 8, 2022	Causal InferenceTime Series	CodeCode Available
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models	Sep 23, 2018	Causal InferenceClustering	CodeCode Available
Neuroevolutionary representations for learning heterogeneous treatment effects	May 25, 2023	Causal Inference	CodeCode Available
Inference on Optimal Dynamic Policies via Softmax Approximation	Mar 8, 2023	Causal InferenceDecision Making	CodeCode Available
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data	May 2, 2016	Causal Inference	CodeCode Available
Inferring Individual Direct Causal Effects Under Heterogeneous Peer Influence	May 27, 2023	Causal InferenceGraph Neural Network	CodeCode Available
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules	Apr 25, 2024	Causal Inference	CodeCode Available
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models	Oct 7, 2022	Causal InferenceMachine Translation	CodeCode Available
A Brief Review of Hypernetworks in Deep Learning	Jun 12, 2023	Causal InferenceContinual Learning	CodeCode Available
Reframed GES with a Neural Conditional Dependence Measure	Jun 17, 2022	Causal DiscoveryCausal Inference	CodeCode Available
Structural Causal Models Are (Solvable by) Credal Networks	Aug 2, 2020	Causal Inference	CodeCode Available
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments	Dec 15, 2024	Active LearningCausal Inference	CodeCode Available
Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders	Jun 5, 2024	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