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 1701–1722 of 1722 papers

TitleStatusHype
Justifying Information-Geometric Causal Inference—0
Consistency of Causal Inference under the Additive Noise Model—0
Causal Inference on Time Series using Restricted Structural Equation Models—0
Program Evaluation and Causal Inference with High-Dimensional Data—0
Feedback Detection for Live Predictors—0
Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders—0
Sparse Nested Markov models with Log-linear Parameters—0
Structural Intervention Distance (SID) for Evaluating Causal GraphsCode0
On the definition of a confounder—0
Acquiring and Generalizing Causal Inference Rules from Deverbal Noun Constructions—0
Counterfactual Reasoning and Learning Systems—0
Identifiability of Gaussian structural equation models with equal error variances—0
Bayesian Discovery of Linear Acyclic Causal Models—0
On Measurement Bias in Causal Inference—0
Inferring deterministic causal relations—0
A rational model of causal inference with continuous causes—0
Learning high-dimensional directed acyclic graphs with latent and selection variables—0
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference—0
BART: Bayesian additive regression treesCode0
Causal inference using the algorithmic Markov condition—0
The Noisy-Logical Distribution and its Application to Causal Inference—0
Longitudinal data analysis using generalized linear models—0
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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