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 13511400 of 1722 papers

TitleStatusHype
Robust Identifiability in Linear Structural Equation Models of Causal Inference0
Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference0
Meta Learning for Causal Direction0
Assessing External Validity Over Worst-case SubpopulationsCode0
A Perspective on Gaussian Processes for Earth Observation0
Learning to search efficiently for causally near-optimal treatmentsCode0
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's ContinuumCode0
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model0
ReCO: A Large Scale Chinese Reading Comprehension Dataset on OpinionCode1
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org0
Valid Causal Inference with (Some) Invalid Instruments0
Disentangling User Interest and Conformity for Recommendation with Causal EmbeddingCode1
Learning Invariant Representations for Reinforcement Learning without ReconstructionCode1
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM)Code0
Causal intersectionality for fair rankingCode1
Causal Inference with Deep Causal Graphs0
Targeting Learning: Robust Statistics for Reproducible Research0
Learning Individually Inferred Communication for Multi-Agent CooperationCode1
Uncertainty promotes neuroreductionism: A behavioral online study on folk psychological causal inference from neuroimaging data0
Regret Minimization for Causal Inference on Large Treatment Space0
Wasserstein Random Forests and Applications in Heterogeneous Treatment EffectsCode0
Counterfactual VQA: A Cause-Effect Look at Language BiasCode1
Ensemble Learning with Statistical and Structural Models0
Identifying Causal Structure in Dynamical SystemsCode0
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains0
Causal Bayesian Optimization0
Studying Product Competition Using Representation Learning0
Automatic Detection of Influential Actors in Disinformation NetworksCode1
Principal Fairness for Human and Algorithmic Decision-Making0
Causal Modeling of Twitter Activity During COVID-19Code1
On the power of conditional independence testing under model-XCode0
Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation0
Multivariate Time Series Forecasting with Transfer Entropy GraphCode1
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates0
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles0
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time SeriesCode0
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks0
Causal Modeling with Stochastic Confounders0
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects0
Machine learning for causal inference: on the use of cross-fit estimatorsCode0
Causal Inference under Outcome-Based Sampling with Monotonicity AssumptionsCode0
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric ApproachesCode1
Ivy: Instrumental Variable Synthesis for Causal Inference0
A category theoretical argument for causal inference0
Causal Relational Learning0
Causal Inference of Script Knowledge0
Identification Methods With Arbitrary Interventional Distributions as Inputs0
Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach0
ParKCa: Causal Inference with Partially Known CausesCode0
Interpretable Personalization via Policy Learning with Linear Decision Boundaries0
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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