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causal inference

1619 papers

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Also known as

ITE IDA SCM CI CATE

Co-occurring keywords

causal discovery (459) structural causal model (182) treatment effect (134) graphical model (863) counterfactual reasoning (224) representation learning (6174) observational datum (109) domain generalization (1517) causal effect (107) causal graph (137)

Papers

Causal Isotonic Calibration for Heterogeneous Treatment Effects ICML 2023
Combinatorial Causal Bandits AAAI 2023
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding ICML 2023
Logic and Commonsense-Guided Temporal Knowledge Graph Completion AAAI 2023
Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023
DRCFS: Doubly Robust Causal Feature Selection ICML 2023
Causal Modeling of Policy Interventions From Treatment-Outcome Sequences ICML 2023
Additive Causal Bandits with Unknown Graph ICML 2023
On the Impact of Algorithmic Recourse on Social Segregation ICML 2023
Neural Algorithmic Reasoning with Causal Regularisation ICML 2023
Propensity Matters: Measuring and Enhancing Balancing for Recommendation ICML 2023
Identifying Selection Bias from Observational Data AAAI 2023
Examining the Causal Impact of First Names on Language Models: The Case of Social Commonsense Reasoning ACL 2023
Causal Fairness for Outcome Control NIPS 2023
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions NIPS 2023
Estimating Joint Treatment Effects by Combining Multiple Experiments ICML 2023
Approximate Causal Effect Identification under Weak Confounding ICML 2023
Causal Strategic Classification: A Tale of Two Shifts ICML 2023
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation ICML 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge ICML 2023
eCDANs: Efficient Temporal Causal Discovery from Autocorrelated and Non-stationary Data (Student Abstract) AAAI 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data AISTATS 2023
Multiply Robust Federated Estimation of Targeted Average Treatment Effects NIPS 2023
GaitGCI: Generative Counterfactual Intervention for Gait Recognition CVPR 2023