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 76100 of 1722 papers

TitleStatusHype
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 Error0.96Unverified
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