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 1–50 of 1722 papers

TitleStatusHype
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal modelsCode5
Beyond Reward Hacking: Causal Rewards for Large Language Model AlignmentCode4
pgmpy: A Python Toolkit for Bayesian NetworksCode4
CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal ReasoningCode3
LinFusion: 1 GPU, 1 Minute, 16K ImageCode3
DoWhy: An End-to-End Library for Causal InferenceCode3
CausalML: Python Package for Causal Machine LearningCode3
Vision-and-Language Navigation via Causal LearningCode2
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention CausalityCode2
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular DataCode2
Unbiased Scene Graph Generation from Biased TrainingCode2
Do we actually understand the impact of renewables on electricity prices? A causal inference approachCode2
Unifying Pairwise Interactions in Complex DynamicsCode2
Applied Causal Inference Powered by ML and AICode2
Deep Reinforcement Learning for Multi-Agent InteractionCode2
Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality AssessmentCode2
Out-of-sample scoring and automatic selection of causal estimatorsCode2
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same EndCode2
A Comprehensive Guide to Explainable AI: From Classical Models to LLMsCode2
Causal Evaluation of Language ModelsCode2
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark FrameworkCode1
Causal intersectionality for fair rankingCode1
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public EventsCode1
Causal Inference in Recommender Systems: A Survey and Future DirectionsCode1
Causal Inference for Spatial TreatmentsCode1
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and GeneralizationCode1
Training a Resilient Q-Network against Observational InterferenceCode1
Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine LearningCode1
Causal Inference for Chatting HandoffCode1
Causal Knowledge Guided Societal Event ForecastingCode1
Causal Incremental Graph Convolution for Recommender System RetrainingCode1
Causal Inference for Qualitative OutcomesCode1
ROCK: Causal Inference Principles for Reasoning about Commonsense CausalityCode1
Causal Modeling of Twitter Activity During COVID-19Code1
CausalEGM: a general causal inference framework by encoding generative modelingCode1
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation DataCode1
Causal Counterfactuals for Improving the Robustness of Reinforcement LearningCode1
A Brief Introduction to Causal Inference in Machine LearningCode1
CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in SpaceCode1
Active Bayesian Causal InferenceCode1
MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication RecommendationCode1
Can Large Language Models Infer Causation from Correlation?Code1
Causal Autoregressive FlowsCode1
CausalCite: A Causal Formulation of Paper CitationsCode1
Causal Effect Inference with Deep Latent-Variable ModelsCode1
causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge GraphsCode1
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection BiasCode1
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science ImagesCode1
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention RecognitionCode1
A Survey on Causal Inference for RecommendationCode1
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All datasetsIHDPJobsIDHP

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