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 1101–1150 of 1722 papers

TitleStatusHype
A Causal Lens for Controllable Text Generation—0
DRTCI: Learning Disentangled Representations for Temporal Causal Inference—0
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges—0
Conceptualizing Treatment Leakage in Text-based Causal Inference—0
Debiased Recommendation with User Feature Balancing—0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction—0
Automated causal inference in application to randomized controlled clinical trialsCode0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery—0
Kernel methods for long term dose response curves—0
Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap—0
Ancestral Instrument Method for Causal Inference without Complete Knowledge—0
A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings—0
EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval—0
Auction Throttling and Causal Inference of Online Advertising Effects—0
Private Private Information—0
Nested Nonparametric Instrumental Variable Regression—0
Using Network-based Causal Inference to Detect the Sources of Contagion in the Currency Market—0
Causal Inference Despite Limited Global Confounding via Mixture Models—0
Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured ConfoundingCode0
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal ProxiesCode0
On Causal Inference for Data-free Structured Pruning—0
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information PreservingCode0
AI Assurance using Causal Inference: Application to Public Policy—0
Causal Inference for Event Pairs in Multivariate Point Processes—0
Answering Complex Causal Queries With the Maximum Causal Set Effect—0
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information—0
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy—0
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
CaM-Gen: Causally-aware Guided Text Generation—0
Causal Effect Variational Autoencoder with Uniform Treatment—0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Zero-Shot Low-Resource Language Temporal Expression Extraction—0
ROCK: A Causal Inference Framework for Reasoning about Commonsense Causality—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 imperfect instrumental variables—0
Causal Inference with Hidden MediatorsCode0
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
Causal Discovery in Linear Structural Causal Models with Deterministic RelationsCode0
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations—0
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision ProcessesCode0
Universal Decision Models—0
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game—0
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional CovarianceCode0
Causal Effect Estimation using Variational Information BottleneckCode0
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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