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 1051–1100 of 1722 papers

TitleStatusHype
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information—0
Estimating Multi-cause Treatment Effects via Single-cause PerturbationCode1
Causal Inference for Event Pairs in Multivariate Point Processes—0
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy—0
Answering Complex Causal Queries With the Maximum Causal Set Effect—0
Comprehensive Knowledge Distillation with Causal InterventionCode1
Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms—0
A Two-Stage Feature Selection Approach for Robust Evaluation of Treatment Effects in High-Dimensional Observational Data—0
A Kernel Test for Causal Association via Noise Contrastive Backdoor AdjustmentCode0
Generalizing Graph Neural Networks on Out-Of-Distribution GraphsCode1
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift ModelingCode1
ROCK: A Causal Inference Framework for Reasoning about Commonsense Causality—0
CaM-Gen: Causally-aware Guided Text Generation—0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Zero-Shot Low-Resource Language Temporal Expression Extraction—0
Causal Effect Variational Autoencoder with Uniform Treatment—0
ADCB: An Alzheimer's disease benchmark for evaluating observational estimators of causal effects—0
Variational Auto-Encoder Architectures that Excel at Causal Inference—0
Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection—0
Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees—0
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response CurvesCode0
Causal Inference with Hidden MediatorsCode0
Causal inference with imperfect instrumental variables—0
It’s quality and quantity: the effect of the amount of comments on online suicidal posts—0
Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States—0
A framework for causal segmentation analysis with machine learning in large-scale digital experimentsCode1
Causal Discovery in Linear Structural Causal Models with Deterministic RelationsCode0
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations—0
Universal Decision Models—0
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision ProcessesCode0
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual QueriesCode1
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game—0
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional CovarianceCode0
Dynamic Causal Bayesian OptimizationCode1
Causal Effect Estimation using Variational Information BottleneckCode0
Evaluating shifts in mobility and COVID-19 case rates in U.S. counties: A demonstration of modified treatment policies for causal inference with continuous exposuresCode0
Partially Intervenable Causal Models—0
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?Code0
A Taxonomy for Inference in Causal Model Families—0
Individualized Decision-Making Under Partial Identification: Three Perspectives, Two Optimality Results, and One Paradox—0
fairadapt: Causal Reasoning for Fair Data Pre-processing—0
Private measurement of nonlinear correlations between data hosted across multiple parties—0
Counterfactual Debiasing Inference for Compositional Action RecognitionCode1
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang—0
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community—0
Causal Identification with Additive Noise Models: Quantifying the Effect of Noise—0
Variance Minimization in the Wasserstein Space for Invariant Causal PredictionCode0
Causal Discovery from Conditionally Stationary Time Series—0
Density-based interpretable hypercube region partitioning for mixed numeric and categorical data—0
β-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap—0
High-dimensional Inference for Dynamic Treatment Effects—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