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 276–300 of 1722 papers

TitleStatusHype
Causal DAG Summarization (Full Version)—0
Causality for Natural Language Processing—0
Dynamic Regularized CBDT: Variance-Calibrated Causal Boosting for Interpretable Heterogeneous Treatment Effects—0
Causal-Copilot: An Autonomous Causal Analysis Agent—0
Eco-efficiency as a Catalyst for Citizen Co-production: Evidence from Chinese Cities—0
The heterogeneous causal effects of the EU's Cohesion Fund—0
Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic EnvironmentsCode0
On relative universality, regression operator, and conditional independence—0
Reimagining Urban Science: Scaling Causal Inference with Large Language Models—0
A Two-Stage Interpretable Matching Framework for Causal Inference—0
A Framework of decision-relevant observability: Reinforcement Learning converges under relative ignorability—0
Double Machine Learning for Causal Inference under Shared-State InterferenceCode0
Better Decisions through the Right Causal World Model—0
Causal Inference under Interference through Designed Markets—0
Causal Inference Isn't Special: Why It's Just Another Prediction Problem—0
Counterfactual Inference under Thompson Sampling—0
A Causal Inference Framework for Data Rich Environments—0
PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood EstimationCode0
Identifying Macro Causal Effects in C-DMGs—0
Causal Models for Growing Networks—0
Reinterpreting demand estimation—0
ClusterSC: Advancing Synthetic Control with Donor Selection—0
Inferring Treatment Effects in Large Panels by Uncovering Latent Similarities—0
Body Discovery of Embodied AI—0
Causal Links Between Anthropogenic Emissions and Air Pollution Dynamics in Delhi—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