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 401–450 of 1722 papers

TitleStatusHype
Metalearners for Ranking Treatment Effects—0
A deep causal inference model for fully-interpretable travel behaviour analysis—0
Does Financial Literacy Impact Investment Participation and Retirement Planning in Japan?—0
ALCM: Autonomous LLM-Augmented Causal Discovery Framework—0
Asymptotic Properties of the Distributional Synthetic Controls—0
Designing Algorithmic Recommendations to Achieve Human-AI Complementarity—0
Causal Evaluation of Language ModelsCode2
Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory—0
Be Aware of the Neighborhood Effect: Modeling Selection Bias under InterferenceCode0
A General Causal Inference Framework for Cross-Sectional Observational Data—0
Trust Dynamics and Market Behavior in Cryptocurrency: A Comparative Study of Centralized and Decentralized ExchangesCode0
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment RulesCode0
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis—0
Disentangling ID and Modality Effects for Session-based RecommendationCode1
CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient health stateCode0
The Causal Chambers: Real Physical Systems as a Testbed for AI MethodologyCode1
Vision-and-Language Navigation via Causal LearningCode2
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes—0
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data AssimilationCode0
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based TrainingCode0
Evaluating Interventional Reasoning Capabilities of Large Language Models—0
Context-dependent Causality (the Non-Nonotonic Case)—0
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference—0
Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods—0
Propensity Score Alignment of Unpaired Multimodal DataCode0
Predictive Performance Comparison of Decision Policies Under ConfoundingCode0
Unveiling the Impact of Macroeconomic Policies: A Double Machine Learning Approach to Analyzing Interest Rate Effects on Financial Markets—0
C-XGBoost: A tree boosting model for causal effect estimationCode1
Causal Inference for Human-Language Model CollaborationCode0
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts—0
On Causal Inference with Model-Based OutcomesCode0
Causal-StoNet: Causal Inference for High-Dimensional Complex DataCode0
Semi-Supervised Learning for Deep Causal Generative ModelsCode1
Can Large Language Models (or Humans) Disentangle Text?Code0
Double Cross-fit Doubly Robust Estimators: Beyond Series RegressionCode0
COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty—0
A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery—0
Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality AssessmentCode2
Research on Personal Credit Risk Assessment Methods Based on Causal Inference—0
Limits of Approximating the Median Treatment Effect—0
Lifted Causal Inference in Relational DomainsCode0
Algorithmic syntactic causal identification—0
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey—0
Imputation of Counterfactual Outcomes when the Errors are Predictable—0
Probabilistic Easy Variational Causal Effect—0
CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation—0
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media—0
Causal Disentanglement for Regulating Social Influence Bias in Social Recommendation—0
AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUsCode0
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door AdjustmentCode0
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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