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 951–1000 of 1722 papers

TitleStatusHype
Reimagining Urban Science: Scaling Causal Inference with Large Language Models—0
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions—0
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace—0
Reinterpreting causal discovery as the task of predicting unobserved joint statistics—0
Reinterpreting demand estimation—0
Relating Graph Neural Networks to Structural Causal Models—0
A Framework of decision-relevant observability: Reinforcement Learning converges under relative ignorability—0
Reliable Beamforming at Terahertz Bands: Are Causal Representations the Way Forward?—0
Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck—0
ReLU integral probability metric and its applications—0
Removing Hidden Confounding by Experimental Grounding—0
Representation Disentaglement via Regularization by Causal Identification—0
Representation learning with CGAN for casual inference—0
Research on Personal Credit Risk Assessment Methods Based on Causal Inference—0
Restricted Causal Inference Algorithm—0
Rethinking Distributional IVs: KAN-Powered D-IV-LATE & Model Choice—0
Retrospective Causal Inference with Machine Learning Ensembles: An Application to Anti-Recidivism Policies in Colombia—0
A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks—0
Revisiting the General Identifiability Problem—0
Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation—0
Riemannian Metric Learning: Closer to You than You Imagine—0
Robust agents learn causal world models—0
Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items—0
Robust Identifiability in Linear Structural Equation Models of Causal Inference—0
ROCK: A Causal Inference Framework for Reasoning about Commonsense Causality—0
Root Causal Inference from Single Cell RNA Sequencing with the Negative Binomial—0
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series—0
Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization—0
Sample-Specific Root Causal Inference with Latent Variables—0
Sampling-based Causal Inference in Cue Combination and its Neural Implementation—0
Scalable Computation of Causal Bounds—0
Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies—0
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality—0
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions—0
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding—0
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge—0
Semidefinite tests for latent causal structures—0
Semiparametric Triple Difference Estimators—0
The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data—0
Sensitivity Maps of the Hilbert-Schmidt Independence Criterion—0
Shared Causal Paths underlying Alzheimer's dementia and Type 2 Diabetes—0
Short-term shock, long-lasting payment: Evidence from the Lushan Earthquake—0
Signal Processing on Directed Graphs—0
Simple rules for complex decisions—0
Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Medicine, Policy, Physics and Engineering—0
Simplifying Probabilistic Expressions in Causal Inference—0
Size of Interventional Markov Equivalence Classes in Random DAG Models—0
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang—0
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening—0
Smiles in Profiles: Improving Efficiency While Reducing Disparities in Online Marketplaces—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