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 5175 of 1722 papers

TitleStatusHype
A Survey of Deep Causal Models and Their Industrial ApplicationsCode1
A Survey on Causal Inference for RecommendationCode1
Causal Parrots: Large Language Models May Talk Causality But Are Not CausalCode1
Causal Unsupervised Semantic SegmentationCode1
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and GeneralizationCode1
Active Bayesian Causal InferenceCode1
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender SystemCode1
Automatic Detection of Influential Actors in Disinformation NetworksCode1
Collective Privacy Recovery: Data-sharing Coordination via Decentralized Artificial IntelligenceCode1
Comprehensive Knowledge Distillation with Causal InterventionCode1
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential EquationsCode1
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationCode1
Causal Inference in Recommender Systems: A Survey and Future DirectionsCode1
ROCK: Causal Inference Principles for Reasoning about Commonsense CausalityCode1
Causal Inference for Qualitative OutcomesCode1
Causal Incremental Graph Convolution for Recommender System RetrainingCode1
Causal Inference for Spatial TreatmentsCode1
Training a Resilient Q-Network against Observational InterferenceCode1
A Graph Neural Network Framework for Causal Inference in Brain NetworksCode1
CausalEGM: a general causal inference framework by encoding generative modelingCode1
Algorithmic Causal Effect Identification with causaleffectCode1
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
Causal Inference for Chatting HandoffCode1
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift ModelingCode1
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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