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 1151–1175 of 1722 papers

TitleStatusHype
Exposing Disparities in Flood Adaptation for Equitable Future Interventions—0
Extracting Physical Causality from Measurements to Detect and Localize False Data Injection Attacks—0
FAIR: A Causal Framework for Accurately Inferring Judgments Reversals—0
fairadapt: Causal Reasoning for Fair Data Pre-processing—0
Fair Effect Attribution in Parallel Online Experiments—0
Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion—0
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training—0
Fast Restricted Causal Inference—0
Feature Selection as Causal Inference: Experiments with Text Classification—0
A Two-Stage Feature Selection Approach for Robust Evaluation of Treatment Effects in High-Dimensional Observational Data—0
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation—0
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications—0
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis—0
Feedback Detection for Live Predictors—0
Feedback in Imitation Learning: The Three Regimes of Covariate Shift—0
Fixed-Population Causal Inference for Models of Equilibrium—0
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference—0
Forests for Differences: Robust Causal Inference Beyond Parametric DiD—0
Formalizing Statistical Causality via Modal Logic—0
Foundation Models for Causal Inference via Prior-Data Fitted Networks—0
From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations—0
From Dependence to Causation—0
From dependency to causality: a machine learning approach—0
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation—0
From Prompts to Constructs: A Dual-Validity Framework for LLM Research in Psychology—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