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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 of 1722 papers

TitleStatusHype
Causal Confirmation Measures: From Simpson's Paradox to COVID-19—0
Causal Claims in Economics—0
Antibiotic Resistance Microbiology Dataset (ARMD): A De-identified Resource for Studying Antimicrobial Resistance Using Electronic Health Records—0
Contextual Multi-Armed Bandits for Causal Marketing—0
CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation—0
Antibiotic-dependent instability of homeostatic plasticity for growth and environmental load—0
Advancing Causal Inference: A Nonparametric Approach to ATE and CATE Estimation with Continuous Treatments—0
A Bayesian Semiparametric Method For Estimating Causal Quantile Effects—0
Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation—0
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity—0
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model—0
Answering Complex Causal Queries With the Maximum Causal Set Effect—0
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision—0
Counterfactual Representation Learning with Balancing Weights—0
Counterfactual Thinking for Long-tailed Information Extraction—0
Confronting Machine Learning With Financial Research—0
Causal Bayesian Optimization—0
An R package for parametric estimation of causal effects—0
An Overview of Large Language Models for Statisticians—0
Conformal Counterfactual Inference under Hidden Confounding—0
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference—0
Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe Extraction—0
Adjustment with Many Regressors Under Covariate-Adaptive Randomizations—0
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect—0
An Overview of Causal Inference using Kernel Embeddings—0
Adjustment Criteria for Recovering Causal Effects from Missing Data—0
Confounder Analysis in Measuring Representation in Product Funnels—0
Causal Bandits: Learning Good Interventions via Causal Inference—0
Confounding-Robust Policy Improvement—0
Confounding-Robust Policy Improvement with Human-AI Teams—0
Conceptualizing Treatment Leakage in Text-based Causal Inference—0
Connecting Data to Mechanisms with Meta Structual Causal Model—0
Connecting the Dots: Identifying Network Structure via Graph Signal Processing—0
Consistency of Causal Inference under the Additive Noise Model—0
Consistent Causal Inference of Group Effects in Non-Targeted Trials with Finitely Many Effect Levels—0
Causal bootstrapping—0
C-Learner: Constrained Learning for Causal Inference and Semiparametric Statistics—0
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles—0
Contagion Effect Estimation Using Proximal Embeddings—0
Conterfactual Generative Zero-Shot Semantic Segmentation—0
Context-dependent Causality (the Non-Nonotonic Case)—0
Context-Specific Causal Discovery for Categorical Data Using Staged Trees—0
Conceptualizing Treatment Leakage in Text-based Causal Inference—0
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing—0
Continual Causal Inference with Incremental Observational Data—0
Continual Causal Effect Estimation: Challenges and Opportunities—0
Counterfactual Invariance to Spurious Correlations in Text Classification—0
Continuous Treatment Effects with Surrogate Outcomes—0
Contrastive Fairness in Machine Learning—0
Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations—0
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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