SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 1722 papers

TitleStatusHype
Active and Passive Causal Inference Learning—0
Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment—0
Bayesian Discovery of Linear Acyclic Causal Models—0
Bayesian Evolutionary Swarm Architecture: A Formal Epistemic System Grounded in Truth-Based Competition—0
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms—0
Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes—0
An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes—0
BayesIMP: Uncertainty Quantification for Causal Data Fusion—0
Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study—0
Be Causal: De-biasing Social Network Confounding in Recommendation—0
Behavioral Causal Inference—0
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation—0
Benchmarking Causal Study to Interpret Large Language Models for Source Code—0
An Automated Approach to Causal Inference in Discrete Settings—0
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression—0
-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap—0
Better Decisions through the Right Causal World Model—0
Beyond Bell's Theorem II: Scenarios with arbitrary causal structure—0
Beyond Correlation: Towards Causal Large Language Model Agents in Biomedicine—0
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation—0
Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction—0
Action needed to make carbon offsets from tropical forest conservation work for climate change mitigation—0
Local Projections Inference with High-Dimensional Covariates without Sparsity—0
An Empirical Comparison of Weak-IV-Robust Procedures in Just-Identified Models—0
A Computational Framework for Solving Nonlinear Binary OptimizationProblems in Robust Causal Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestAverage Treatment Effect Error0.96—Unverified
2Balancing Linear RegressionAverage Treatment Effect Error0.93—Unverified
3k-NNAverage Treatment Effect Error0.79—Unverified
4CEVAEAverage Treatment Effect Error0.46—Unverified
5Balancing Neural NetworkAverage Treatment Effect Error0.42—Unverified
6Causal ForestAverage Treatment Effect Error0.4—Unverified
7BCAUS DRAverage Treatment Effect Error0.29—Unverified
8TARNetAverage Treatment Effect Error0.28—Unverified
9Counterfactual Regression + WASSAverage Treatment Effect Error0.27—Unverified
10MTDL-KNNAverage Treatment Effect Error0.23—Unverified
#ModelMetricClaimedVerifiedStatus
1CFR WASSAverage Treatment Effect on the Treated Error0.09—Unverified
2CFR MMDAverage Treatment Effect on the Treated Error0.08—Unverified
3BARTAverage Treatment Effect on the Treated Error0.08—Unverified
4GANITEAverage Treatment Effect on the Treated Error0.06—Unverified
5BCAUSSAverage Treatment Effect on the Treated Error0.05—Unverified
#ModelMetricClaimedVerifiedStatus
1BARTAverage Treatment Effect Error0.34—Unverified
2OLS with separate regressors for each treatmentAverage Treatment Effect Error0.31—Unverified
3Average Treatment Effect Error-0.23—Unverified