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 376–400 of 1722 papers

TitleStatusHype
Deriving Causal Order from Single-Variable Interventions: Guarantees & AlgorithmCode0
Smoke and Mirrors in Causal Downstream TasksCode0
A Counterfactual Analysis of the Dishonest Casino—0
Learning Invariant Causal Mechanism from Vision-Language Models—0
ProDAG: Projected Variational Inference for Directed Acyclic GraphsCode0
Exploring the use of a Large Language Model for data extraction in systematic reviews: a rapid feasibility study—0
Causal Inference with CocyclesCode0
Conformal Counterfactual Inference under Hidden Confounding—0
The Logic of Counterfactuals and the Epistemology of Causal Inference—0
Argumentative Causal DiscoveryCode0
Causality in the Can: Diet Coke's Impact on Fatness—0
Enhancing Airline Customer Satisfaction: A Machine Learning and Causal Analysis Approach—0
C-Learner: Constrained Learning for Causal Inference and Semiparametric Statistics—0
A Brief Introduction to Causal Inference in Machine LearningCode1
CIER: A Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning—0
Simultaneous Inference for Local Structural Parameters with Random Forests—0
Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference—0
From Probability to Counterfactuals: the Increasing Complexity of Satisfiability in Pearl's Causal Hierarchy—0
Causal Inference from Slowly Varying Nonstationary Processes—0
Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor SignalsCode0
Causal inference approach to appraise long-term effects of maintenance policy on functional performance of asphalt pavements—0
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows—0
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation—0
A causal inference approach of monosynapses from spike trains—0
On Probabilistic and Causal Reasoning with Summation Operators—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