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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

Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs AAAI 2024
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning JMLR 2024
Sample Complexity of Interventional Causal Representation Learning NIPS 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition NIPS 2024
An Information-Flow Perspective on Algorithmic Fairness AAAI 2024
The Causal Impact of Credit Lines on Spending Distributions AAAI 2024
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models CVPR 2024
Positivity-free Policy Learning with Observational Data AISTATS 2024
On the Actionability of Outcome Prediction AAAI 2024
End-To-End Causal Effect Estimation from Unstructured Natural Language Data NIPS 2024
Transport-based Counterfactual Models JMLR 2024
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation AISTATS 2024
Vision-and-Language Navigation via Causal Learning CVPR 2024
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning AAAI 2024
Long-Term Fair Decision Making through Deep Generative Models AAAI 2024
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NIPS 2024
Causally Aware Generative Adversarial Networks for Light Pollution Control AAAI 2024
In Pursuit of Causal Label Correlations for Multi-label Image Recognition NIPS 2024
Neural Causal Abstractions AAAI 2024
Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation AAAI 2024