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 151200 of 1722 papers

TitleStatusHype
Training a Resilient Q-Network against Observational InterferenceCode1
Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine LearningCode1
CDS -- Causal Inference with Deep Survival Model and Time-varying CovariatesCode1
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal InferenceCode1
Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron ResolutionCode1
Reconsidering Generative Objectives For Counterfactual ReasoningCode1
Invariant Representation Learning for Treatment Effect EstimationCode1
Adversarial Counterfactual Learning and Evaluation for Recommender SystemCode1
Causal Autoregressive FlowsCode1
Instrumental Variable Identification of Dynamic Variance DecompositionsCode1
Causal Inference for Spatial TreatmentsCode1
Should Graph Convolution Trust Neighbors? A Simple Causal Inference MethodCode1
A Graph Neural Network Framework for Causal Inference in Brain NetworksCode1
Counterfactual Variable Control for Robust and Interpretable Question AnsweringCode1
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal EffectCode1
Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment EffectsCode1
Long-Term Effect Estimation with Surrogate RepresentationCode1
Autoregressive flow-based causal discovery and inferenceCode1
When deep learning meets causal inference: a computational framework for drug repurposing from real-world dataCode1
ReCO: A Large Scale Chinese Reading Comprehension Dataset on OpinionCode1
Disentangling User Interest and Conformity for Recommendation with Causal EmbeddingCode1
Learning Invariant Representations for Reinforcement Learning without ReconstructionCode1
Causal intersectionality for fair rankingCode1
Learning Individually Inferred Communication for Multi-Agent CooperationCode1
Counterfactual VQA: A Cause-Effect Look at Language BiasCode1
Automatic Detection of Influential Actors in Disinformation NetworksCode1
Causal Modeling of Twitter Activity During COVID-19Code1
Multivariate Time Series Forecasting with Transfer Entropy GraphCode1
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric ApproachesCode1
Invariant Causal Prediction for Block MDPsCode1
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved ConfoundingCode1
Variable-lag Granger Causality and Transfer Entropy for Time Series AnalysisCode1
Variable-lag Granger Causality for Time Series AnalysisCode1
Masked Gradient-Based Causal Structure LearningCode1
Estimating Transfer Entropy via Copula EntropyCode1
Adapting Text Embeddings for Causal InferenceCode1
Using Embeddings to Correct for Unobserved Confounding in NetworksCode1
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection BiasCode1
Causal Effect Inference with Deep Latent-Variable ModelsCode1
Double/Debiased Machine Learning for Treatment and Causal ParametersCode1
Estimating individual treatment effect: generalization bounds and algorithmsCode1
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning0
Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies0
Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe Extraction0
Bayesian Evolutionary Swarm Architecture: A Formal Epistemic System Grounded in Truth-Based Competition0
T-CPDL: A Temporal Causal Probabilistic Description Logic for Developing Logic-RAG Agent0
Causal Interventions in Bond Multi-Dealer-to-Client Platforms0
An Empirical Comparison of Weak-IV-Robust Procedures in Just-Identified Models0
International Trade and Intellectual Property0
From Prompts to Constructs: A Dual-Validity Framework for LLM Research in Psychology0
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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