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 251–300 of 1722 papers

TitleStatusHype
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning—0
β-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap—0
An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter—0
Bivariate Causal Discovery and its Applications to Gene Expression and Imaging Data Analysis—0
A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation—0
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction—0
Axiomatization of Interventional Probability Distributions—0
A Way to Synthetic Triple Difference—0
Algorithmic syntactic causal identification—0
Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection—0
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs—0
A Critical Review of Causal Reasoning Benchmarks for Large Language Models—0
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components—0
Algorithmic Bias in Recidivism Prediction: A Causal Perspective—0
A Causal Framework for Decomposing Spurious Variations—0
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference—0
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models—0
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands—0
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition—0
ALCM: Autonomous LLM-Augmented Causal Discovery Framework—0
Automated hypothesis generation via Evolutionary Abduction—0
A Layered Architecture for Universal Causality—0
Acquiring and Generalizing Causal Inference Rules from Deverbal Noun Constructions—0
Causal inference approach to appraise long-term effects of maintenance policy on functional performance of asphalt pavements—0
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling—0
Causal Inference by Stochastic Complexity—0
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery—0
A Unifying Framework for Robust and Efficient Inference with Unstructured Data—0
Causal Explanations for Sequential Decision Making Under Uncertainty—0
A unifying approach for doubly-robust _1 regularized estimation of causal contrasts—0
A unified theory of information transfer and causal relation—0
A Counterfactual Analysis of the Dishonest Casino—0
Auditing Search Engines for Differential Satisfaction Across Demographics—0
Auction Throttling and Causal Inference of Online Advertising Effects—0
AI Assurance using Causal Inference: Application to Public Policy—0
A Causal Approach for Business Optimization: Application on an Online Marketplace—0
A Two-Stage Interpretable Matching Framework for Causal Inference—0
A Tutorial on Doubly Robust Learning for Causal Inference—0
A Hamiltonian Higher-Order Elasticity Framework for Dynamic Diagnostics(2HOED)—0
Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks—0
Attributes for Causal Inference in Longitudinal Observational Databases—0
A continuous Structural Intervention Distance to compare Causal Graphs—0
A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery—0
A Topological Perspective on Causal Inference—0
A Graphical Approach to State Variable Selection in Off-policy Learning—0
INTAGS: Interactive Agent-Guided Simulation—0
A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings—0
A Causal Adjustment Module for Debiasing Scene Graph Generation—0
Causal Inference and Data Fusion in Econometrics—0
Causal Inference by String Diagram Surgery—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