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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 126150 of 1722 papers

TitleStatusHype
Causal Proxy Models for Concept-Based Model ExplanationsCode1
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential EquationsCode1
Learning from Counterfactual Links for Link PredictionCode1
An Influence-based Approach for Root Cause Alarm Discovery in Telecom NetworksCode1
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric ApproachesCode1
CLadder: Assessing Causal Reasoning in Language ModelsCode1
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model BehaviorCode1
CDS -- Causal Inference with Deep Survival Model and Time-varying CovariatesCode1
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender SystemCode1
A Structural Causal Model for MR Images of Multiple SclerosisCode1
A Survey on Causal Inference for RecommendationCode1
A Survey of Deep Causal Models and Their Industrial ApplicationsCode1
Comprehensive Knowledge Distillation with Causal InterventionCode1
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationCode1
Counterfactual Causal Inference in Natural Language with Large Language ModelsCode1
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable DecompositionCode1
Automatic Detection of Influential Actors in Disinformation NetworksCode1
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference PerspectiveCode1
Counterfactual Variable Control for Robust and Interpretable Question AnsweringCode1
Causal Structure Learning Supervised by Large Language ModelCode1
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question AnsweringCode1
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal InferenceCode1
DeCaFlow: A Deconfounding Causal Generative ModelCode1
Causal Unsupervised Semantic SegmentationCode1
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science ImagesCode1
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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