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

Showing 576600 of 1722 papers

TitleStatusHype
Adjustment Criteria for Recovering Causal Effects from Missing Data0
Confounder Analysis in Measuring Representation in Product Funnels0
Causal Bandits: Learning Good Interventions via Causal Inference0
Confounding-Robust Policy Improvement0
Confounding-Robust Policy Improvement with Human-AI Teams0
Conceptualizing Treatment Leakage in Text-based Causal Inference0
Connecting Data to Mechanisms with Meta Structual Causal Model0
Connecting the Dots: Identifying Network Structure via Graph Signal Processing0
Consistency of Causal Inference under the Additive Noise Model0
Consistent Causal Inference of Group Effects in Non-Targeted Trials with Finitely Many Effect Levels0
Causal bootstrapping0
C-Learner: Constrained Learning for Causal Inference and Semiparametric Statistics0
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles0
Contagion Effect Estimation Using Proximal Embeddings0
Conterfactual Generative Zero-Shot Semantic Segmentation0
Context-dependent Causality (the Non-Nonotonic Case)0
Context-Specific Causal Discovery for Categorical Data Using Staged Trees0
Conceptualizing Treatment Leakage in Text-based Causal Inference0
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing0
Continual Causal Inference with Incremental Observational Data0
Continual Causal Effect Estimation: Challenges and Opportunities0
Counterfactual Invariance to Spurious Correlations in Text Classification0
Continuous Treatment Effects with Surrogate Outcomes0
Contrastive Fairness in Machine Learning0
Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestAverage Treatment Effect Error0.96Unverified
2Balancing Linear RegressionAverage Treatment Effect Error0.93Unverified
3k-NNAverage Treatment Effect Error0.79Unverified
4CEVAEAverage Treatment Effect Error0.46Unverified
5Balancing Neural NetworkAverage Treatment Effect Error0.42Unverified
6Causal ForestAverage Treatment Effect Error0.4Unverified
7BCAUS DRAverage Treatment Effect Error0.29Unverified
8TARNetAverage Treatment Effect Error0.28Unverified
9Counterfactual Regression + WASSAverage Treatment Effect Error0.27Unverified
10MTDL-KNNAverage Treatment Effect Error0.23Unverified
#ModelMetricClaimedVerifiedStatus
1CFR WASSAverage Treatment Effect on the Treated Error0.09Unverified
2CFR MMDAverage Treatment Effect on the Treated Error0.08Unverified
3BARTAverage Treatment Effect on the Treated Error0.08Unverified
4GANITEAverage Treatment Effect on the Treated Error0.06Unverified
5BCAUSSAverage Treatment Effect on the Treated Error0.05Unverified
#ModelMetricClaimedVerifiedStatus
1BARTAverage Treatment Effect Error0.34Unverified
2OLS with separate regressors for each treatmentAverage Treatment Effect Error0.31Unverified
3Average Treatment Effect Error-0.23Unverified