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

Showing 551575 of 1722 papers

TitleStatusHype
CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language ModelsCode0
A neural network oracle for quantum nonlocality problems in networksCode0
Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component AnalysisCode0
From Images to Insights: Explainable Biodiversity Monitoring with Plain Language Habitat ExplanationsCode0
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural CircuitsCode0
Consistent Estimation of Propensity Score Functions with Oversampled Exposed SubjectsCode0
Combinatorial Causal BanditsCode0
Direct-Effect Risk Minimization for Domain GeneralizationCode0
A Neural Framework for Generalized Causal Sensitivity AnalysisCode0
Confounding Feature Acquisition for Causal Effect EstimationCode0
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time SeriesCode0
Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeastCode0
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional DistributionsCode0
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic ControlCode0
Counterfactual Prediction Under Selective ConfoundingCode0
Deep Counterfactual Networks with Propensity-DropoutCode0
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects EstimationCode0
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial NetsCode0
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?Code0
Time-uniform central limit theory and asymptotic confidence sequencesCode0
Long-term Causal Inference Under Persistent Confounding via Data CombinationCode0
Causal Reasoning in Software Quality Assurance: A Systematic Review0
Bivariate Causal Discovery and its Applications to Gene Expression and Imaging Data Analysis0
Causal Reasoning: Charting a Revolutionary Course for Next-Generation AI-Native Wireless Networks0
Causal Q-Aggregation for CATE Model Selection0
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Benchmark Results

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