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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 51–100 of 1722 papers

TitleStatusHype
SLANG: New Concept Comprehension of Large Language ModelsCode1
Invariant Anomaly Detection under Distribution Shifts: A Causal PerspectiveCode1
Double Machine Learning for Static Panel Models with Fixed EffectsCode1
CLadder: Assessing Causal Reasoning in Language ModelsCode1
SpaCE: The Spatial Confounding EnvironmentCode1
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed SettingsCode1
Causal Structure Learning Supervised by Large Language ModelCode1
CausalCite: A Causal Formulation of Paper CitationsCode1
Causal Modeling with Stationary DiffusionsCode1
Causality-Inspired Fair Representation Learning for Multimodal RecommendationCode1
Machine learning in physics: a short guideCode1
Causal Unsupervised Semantic SegmentationCode1
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science ImagesCode1
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through LogicCode1
Causal Parrots: Large Language Models May Talk Causality But Are Not CausalCode1
Estimating the Causal Effect of Early ArXiving on Paper AcceptanceCode1
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal InferenceCode1
Can Large Language Models Infer Causation from Correlation?Code1
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference PerspectiveCode1
A Survey on Causal Inference for RecommendationCode1
Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimationCode1
PAGE: A Position-Aware Graph-Based Model for Emotion Cause Entailment in ConversationCode1
A Counterfactual Collaborative Session-based Recommender SystemCode1
Integrating Earth Observation Data into Causal Inference: Challenges and OpportunitiesCode1
TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for MedicineCode1
causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge GraphsCode1
Causal Recurrent Variational Autoencoder for Medical Time Series GenerationCode1
Collective Privacy Recovery: Data-sharing Coordination via Decentralized Artificial IntelligenceCode1
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and GeneralizationCode1
Instrumental Variables in Causal Inference and Machine Learning: A SurveyCode1
On Root Cause Localization and Anomaly Mitigation through Causal InferenceCode1
CausalEGM: a general causal inference framework by encoding generative modelingCode1
Causal Inference via Style Transfer for Out-of-distribution GeneralisationCode1
Empirical Analysis of Model Selection for Heterogeneous Causal Effect EstimationCode1
Causal Counterfactuals for Improving the Robustness of Reinforcement LearningCode1
Inference and Denoise: Causal Inference-based Neural Speech EnhancementCode1
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation DataCode1
Granger causal inference on DAGs identifies genomic loci regulating transcriptionCode1
Deep Counterfactual Estimation with Categorical Background VariablesCode1
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity RecognitionCode1
Causal Inference for Chatting HandoffCode1
Predicting Cellular Responses with Variational Causal Inference and Refined Relational InformationCode1
Causal Proxy Models for Concept-Based Model ExplanationsCode1
A Survey of Deep Causal Models and Their Industrial ApplicationsCode1
Variational Causal InferenceCode1
Causal Inference in Recommender Systems: A Survey and Future DirectionsCode1
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question AnsweringCode1
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment AnalysisCode1
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect EstimationCode1
CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in SpaceCode1
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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