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 201–225 of 1722 papers

TitleStatusHype
Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms—0
Adaptive Multi-Source Causal Inference—0
An Automated Approach to Causal Inference in Discrete Settings—0
Correlation vs causation in Alzheimer's disease: an interpretability-driven study—0
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges—0
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors—0
Analyzing Behaviors of Mixed Traffic via Reinforcement Learning at Unsignalized Intersections—0
Analysis of cause-effect inference by comparing regression errors—0
The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy—0
Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study—0
An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes—0
A Causal Inference Approach for Quantifying Research Impact—0
A Multi-class Ride-hailing Service Subsidy System Utilizing Deep Causal Networks—0
An AI-powered Bayesian generative modeling approach for causal inference in observational studies—0
Active and Passive Causal Inference Learning—0
A Mixing Time Lower Bound for a Simplified Version of BART—0
A Causal Framework for Precision Rehabilitation—0
Categoroids: Universal Conditional Independence—0
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression—0
Causal and anti-causal learning in pattern recognition for neuroimaging—0
Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment—0
Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes—0
A Bayesian Model for Bivariate Causal Inference—0
Bayesian Causal Inference in Doubly Gaussian DAG-probit Models—0
Action needed to make carbon offsets from tropical forest conservation work for climate change mitigation—0
Show:102550
← PrevPage 9 of 69Next →
All datasetsIHDPJobsIDHP

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