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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 101–150 of 1722 papers

TitleStatusHype
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift ModelingCode1
A Counterfactual Collaborative Session-based Recommender SystemCode1
Everything Has a Cause: Leveraging Causal Inference in Legal Text AnalysisCode1
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal DiscoveryCode1
Federated Estimation of Causal Effects from Observational DataCode1
Causality-Inspired Fair Representation Learning for Multimodal RecommendationCode1
Algorithmic Causal Effect Identification with causaleffectCode1
A Survey of Deep Causal Models and Their Industrial ApplicationsCode1
Causal intersectionality for fair rankingCode1
Graph Out-of-Distribution Generalization via Causal InterventionCode1
A Survey on Causal Inference for RecommendationCode1
Instrumental Variables in Causal Inference and Machine Learning: A SurveyCode1
Active Bayesian Causal InferenceCode1
Invariant Anomaly Detection under Distribution Shifts: A Causal PerspectiveCode1
Invariant Representation Learning for Treatment Effect EstimationCode1
Language Agents Meet Causality -- Bridging LLMs and Causal World ModelsCode1
Language Models Represent Beliefs of Self and OthersCode1
Large-Scale Differentiable Causal Discovery of Factor GraphsCode1
Causal Inference for Chatting HandoffCode1
Learning Invariant Representations for Reinforcement Learning without ReconstructionCode1
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal EffectCode1
Long-Term Effect Estimation with Surrogate RepresentationCode1
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science ImagesCode1
MECD+: Unlocking Event-Level Causal Graph Discovery for Video ReasoningCode1
Multi-task Heterogeneous Graph Learning on Electronic Health RecordsCode1
Multivariate Time Series Forecasting with Transfer Entropy GraphCode1
Causal Inference for Qualitative OutcomesCode1
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark FrameworkCode1
An Influence-based Approach for Root Cause Alarm Discovery in Telecom NetworksCode1
Causal Counterfactuals for Improving the Robustness of Reinforcement LearningCode1
Causal Effect Inference with Deep Latent-Variable ModelsCode1
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation DataCode1
Causal Autoregressive FlowsCode1
CausalCite: A Causal Formulation of Paper CitationsCode1
causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge GraphsCode1
Causal Image Modeling for Efficient Visual UnderstandingCode1
Causal Incremental Graph Convolution for Recommender System RetrainingCode1
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention RecognitionCode1
Causal Inference for Spatial TreatmentsCode1
Causal Inference in Recommender Systems: A Survey and Future DirectionsCode1
ROCK: Causal Inference Principles for Reasoning about Commonsense CausalityCode1
Training a Resilient Q-Network against Observational InterferenceCode1
CausalEGM: a general causal inference framework by encoding generative modelingCode1
Autoregressive flow-based causal discovery and inferenceCode1
Causal Modeling with Stationary DiffusionsCode1
CausalNLP: A Practical Toolkit for Causal Inference with TextCode1
Causal Recurrent Variational Autoencoder for Medical Time Series GenerationCode1
Causal Reinforcement Learning using Observational and Interventional DataCode1
CausalSim: A Causal Framework for Unbiased Trace-Driven SimulationCode1
Can Large Language Models Infer Causation from Correlation?Code1
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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