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

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Showing 301–350 of 1722 papers

TitleStatusHype
INTAGS: Interactive Agent-Guided Simulation—0
A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings—0
A Causal Adjustment Module for Debiasing Scene Graph Generation—0
Causal Inference on Outcomes Learned from Text—0
Causal Inference Tools for a Better Evaluation of Machine Learning—0
Causal Inference via Conditional Kolmogorov Complexity using MDL Binning—0
A Systems Thinking Approach to Algorithmic Fairness—0
A scoping review of causal methods enabling predictions under hypothetical interventions—0
A General Causal Inference Framework for Cross-Sectional Observational Data—0
A Synthetic Business Cycle Approach to Counterfactual Analysis with Nonstationary Macroeconomic Data—0
Asymptotic Properties of the Distributional Synthetic Controls—0
A category theoretical argument for causal inference—0
Asymptotic Causal Inference—0
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics—0
Causal Inference, is just Inference: A beautifully simple idea that not everyone accepts—0
A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection—0
A Compositional Atlas for Algebraic Circuits—0
Causal Inference Isn't Special: Why It's Just Another Prediction Problem—0
Causal Inference of Script Knowledge—0
A Survey on Causal Discovery: Theory and Practice—0
A Survey of Online Hate Speech through the Causal Lens—0
A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence—0
A Survey of Event Causality Identification: Principles, Taxonomy, Challenges, and Assessment—0
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference—0
Does Misclassifying Non-confounding Covariates as Confounders Affect the Causal Inference within the Potential Outcomes Framework?—0
A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 2009—0
A step towards the applicability of algorithms based on invariant causal learning on observational data—0
Assimilative Causal Inference—0
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem—0
Causal Inference in the Presence of Interference in Sponsored Search Advertising—0
Causal Inference on Discrete Data via Estimating Distance Correlations—0
SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference—0
Nested Nonparametric Instrumental Variable Regression—0
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals—0
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness—0
A Semiparametric Approach to Causal Inference—0
Achieving Counterfactual Fairness for Causal Bandit—0
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality—0
Causal Graph Aided Causal Discovery in an Observational Aneurysmal Subarachnoid Hemorrhage Study—0
Causal GNNs: A GNN-Driven Instrumental Variable Approach for Causal Inference in Networks—0
Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward—0
Causal Forecasting for Pricing—0
Causal Post-Processing of Predictive Models—0
Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models—0
Causal Identification with Additive Noise Models: Quantifying the Effect of Noise—0
Identifying causal effects with subjective ordinal outcomes—0
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions—0
A fast PC algorithm for high dimensional causal discovery with multi-core PCs—0
Causal Feature Selection with Dimension Reduction for Interpretable Text Classification—0
Artificial Intelligence and Aesthetic Judgment—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