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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

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Showing 1001–1050 of 1722 papers

TitleStatusHype
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual ReasoningCode1
Long-term Causal Inference Under Persistent Confounding via Data CombinationCode0
Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace—0
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression—0
Validating Causal Inference Methods—0
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time seriesCode0
Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health recordsCode1
Evaluation Methods and Measures for Causal Learning Algorithms—0
Causal Inference Using Tractable Circuits—0
Deep End-to-end Causal Inference—0
Causal Inference Through the Structural Causal Marginal ProblemCode0
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts—0
ROCK: Causal Inference Principles for Reasoning about Commonsense CausalityCode1
Unifying Pairwise Interactions in Complex DynamicsCode2
Heterogeneous Peer Effects in the Linear Threshold ModelCode0
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects—0
Promises and Challenges of Causality for Ethical Machine Learning—0
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery—0
Time-Series K-means in Causal Inference and Mechanism Clustering for Financial Data—0
Symbiotic bacterial network structure involved in carbon and nitrogen metabolism of wood-utilizing insect larvae—0
A Causal Lens for Controllable Text Generation—0
Unicorn: Reasoning about Configurable System Performance through the lens of CausalityCode1
DRTCI: Learning Disentangled Representations for Temporal Causal Inference—0
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges—0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction—0
Conceptualizing Treatment Leakage in Text-based Causal Inference—0
Debiased Recommendation with User Feature Balancing—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
CausalSim: A Causal Framework for Unbiased Trace-Driven SimulationCode1
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
Contextual Debiasing for Visual Recognition With Causal MechanismsCode1
Show, Deconfound and Tell: Image Captioning With Causal InferenceCode1
Auction Throttling and Causal Inference of Online Advertising Effects—0
Private Private Information—0
Nested Nonparametric Instrumental Variable Regression—0
Long Story Short: Omitted Variable Bias in Causal Machine LearningCode1
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
On Causal Inference for Data-free Structured Pruning—0
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal ProxiesCode0
Hybrid Neural Networks for On-device Directional HearingCode1
Causal Knowledge Guided Societal Event ForecastingCode1
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information PreservingCode0
AI Assurance using Causal Inference: Application to Public Policy—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