Causal Inference
636 papers
Papers per year
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39
52
63
90
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18
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Papers
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
NeurIPS 2023
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
NeurIPS 2023
Context De-Confounded Emotion Recognition
CVPR 2023
Counterfactually Comparing Abstaining Classifiers
NeurIPS 2023
CoVariance-based Causal Debiasing for Entity and Relation Extraction
EMNLP 2023
Covariate balancing using the integral probability metric for causal inference
ICML 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
CVPR 2023
Detecting hidden confounding in observational data using multiple environments
NeurIPS 2023
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
ICML 2023
Discourse Information for Document-Level Temporal Dependency Parsing
ACL 2023
Disentangled Representation for Causal Mediation Analysis
AAAI 2023
Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models?
EMNLP 2023
DRCFS: Doubly Robust Causal Feature Selection
ICML 2023
Efficient Enumeration of Markov Equivalent DAGs
AAAI 2023
Efficient SAGE Estimation via Causal Structure Learning
AISTATS 2023
Enhancing Event Causality Identification with Counterfactual Reasoning
ACL 2023
Enhancing Event Causality Identification with Event Causal Label and Event Pair Interaction Graph
ACL 2023
Estimating Average Causal Effects from Patient Trajectories
AAAI 2023
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks
AAAI 2023
Estimating Propensity for Causality-based Recommendation without Exposure Data
NeurIPS 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
AAAI 2023
Evaluating Digital Agriculture Recommendations with Causal Inference
AAAI 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
ICML 2023
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions
AISTATS 2023
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation
NeurIPS 2023