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 1576–1600 of 1722 papers

Title	Date	Tasks	Status
Machine learning in policy evaluation: new tools for causal inference	Mar 1, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available
Semi-supervised learning and the question of true versus estimated propensity scores	Sep 14, 2020	Causal Inference	CodeCode Available
A neural network oracle for quantum nonlocality problems in networks	Jul 24, 2019	Causal Inference	CodeCode Available
A Neural Framework for Generalized Causal Sensitivity Analysis	Nov 27, 2023	Causal InferenceSensitivity	CodeCode Available
The Blessings of Multiple Causes	May 17, 2018	Causal Inference	CodeCode Available
Causal Inference with Noisy and Missing Covariates via Matrix Factorization	Jun 3, 2018	Causal InferenceMatrix Completion	CodeCode Available
Practical Performative Policy Learning with Strategic Agents	Dec 2, 2024	Causal Inference	CodeCode Available
Sequential Deconfounding for Causal Inference with Unobserved Confounders	Apr 16, 2021	Causal InferenceDecision Making	CodeCode Available
Federated Causal Inference in Heterogeneous Observational Data	Jul 25, 2021	Causal Inference	CodeCode Available
Argumentative Causal Discovery	May 18, 2024	Causal DiscoveryCausal Inference	CodeCode Available
Causal Inference with Cocycles	May 22, 2024	Causal Inferencecounterfactual	CodeCode Available
Federated Causal Inference from Observational Data	Aug 24, 2023	Causal InferenceFederated Learning	CodeCode Available
Predicting the impact of treatments over time with uncertainty aware neural differential equations	Feb 24, 2022	Causal Inferencecounterfactual	CodeCode Available
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators	Feb 28, 2024	Causal Inferencecounterfactual	CodeCode Available
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces	Jun 6, 2023	Causal InferenceDecision Making	CodeCode Available
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance	Oct 27, 2021	Causal InferenceClinical Knowledge	CodeCode Available
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge	Jun 22, 2021	Causal InferenceRepresentation Learning	CodeCode Available
Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits	Dec 3, 2023	Causal InferenceMulti-Armed Bandits	CodeCode Available
Predictive Performance Comparison of Decision Policies Under Confounding	Apr 1, 2024	Causal InferenceDecision Making	CodeCode Available
On Causal Inference with Model-Based Outcomes	Mar 28, 2024	Causal Inferencemodel	CodeCode Available
Bayesian nonparametric discontinuity design	Nov 15, 2019	Causal InferenceExperimental Design	CodeCode Available
Forecasting Algorithms for Causal Inference with Panel Data	Aug 6, 2022	Causal Inferencecounterfactual	CodeCode Available
Bias and high-dimensional adjustment in observational studies of peer effects	Jun 14, 2017	Causal InferenceVocal Bursts Intensity Prediction	CodeCode Available
Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis	Feb 14, 2018	BenchmarkingCausal Inference	CodeCode Available
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding	Feb 4, 2024	Causal InferenceDimensionality Reduction	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