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 451–500 of 1722 papers

TitleStatusHype
Linear Contextual Bandits with Interference—0
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding—0
CauSkelNet: Causal Representation Learning for Human Behaviour Analysis—0
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional IndependenciesCode0
Causal Inference with Double/Debiased Machine Learning for Evaluating the Health Effects of Multiple Mismeasured Pollutants—0
Mining Causality: AI-Assisted Search for Instrumental Variables—0
A Way to Synthetic Triple Difference—0
Performance of Cross-Validated Targeted Maximum Likelihood EstimationCode0
Causal Inference with Large Language Model: A Survey—0
Unconditional Randomization Tests for Interference—0
Proactive Recommendation in Social Networks: Steering User Interest via Neighbor Influence—0
Causal GNNs: A GNN-Driven Instrumental Variable Approach for Causal Inference in Networks—0
Advancing Causal Inference: A Nonparametric Approach to ATE and CATE Estimation with Continuous Treatments—0
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation—0
K-Fold Causal BART for CATE Estimation—0
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping—0
Towards Measuring Sell Side Outcomes in Buy Side Marketplace Experiments using In-Experiment Bipartite Graph—0
TC-LLaVA: Rethinking the Transfer from Image to Video Understanding with Temporal Considerations—0
Estimating Heterogenous Treatment Effects for Survival Data with Doubly Doubly Robust Estimator—0
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning—0
Higher order definition of causality by optimally conditioned transfer entropy—0
Causal Reasoning in Software Quality Assurance: A Systematic Review—0
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation—0
Using LLMs for Explaining Sets of Counterfactual Examples to Final UsersCode0
Can Transformers Do Enumerative Geometry?Code0
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models—0
Measuring Variable Importance in Heterogeneous Treatment Effects with ConfidenceCode0
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth—0
Towards Deconfounded Image-Text Matching with Causal Inference—0
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling—0
SPORTSCausal: Spill-Over Time Series Causal Inference—0
Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component AnalysisCode0
χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid DomainsCode0
Causal Graph Aided Causal Discovery in an Observational Aneurysmal Subarachnoid Hemorrhage Study—0
Correcting invalid regression discontinuity designs with multiple time period data—0
Dynamical causality under invisible confounders—0
Generalized Encouragement-Based Instrumental Variables for Counterfactual RegressionCode0
A Density Ratio Super Learner—0
Peer-induced Fairness: A Causal Approach for Algorithmic Fairness AuditingCode0
A Multi-class Ride-hailing Service Subsidy System Utilizing Deep Causal Networks—0
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric EstimationCode0
Identification and Inference for Synthetic Control Methods with Spillover Effects: Estimating the Economic Cost of the Sudan Split—0
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts—0
Potential weights and implicit causal designs in linear regression—0
Domain Adaptable Prescriptive AI Agent for Enterprise—0
Large Language Models as Co-Pilots for Causal Inference in Medical Studies—0
Causal modelling without introducing counterfactuals or abstract distributions—0
Establishing Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning—0
Causal Inference with Complex Treatments: A Survey—0
Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity—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