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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 Interpretation of Self-Attention in Pre-Trained Transformers NIPS 2023
Probabilities of Causation: Role of Observational Data AISTATS 2023
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NIPS 2023
Counterfactually Fair Representation NIPS 2023
IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval NIPS 2023
Causal Entropy Optimization AISTATS 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective NIPS 2023
Knowledge Proxy Intervention for Deconfounded Video Question Answering ICCV 2023
Fault Injection Based Interventional Causal Learning for Distributed Applications AAAI 2023
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators JMLR 2023
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models ACL 2023
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models AISTATS 2023
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective ACL 2023
CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning CVPR 2023
Proximal Causal Learning of Conditional Average Treatment Effects ICML 2023
Pipeline for modeling causal beliefs from natural language ACL 2023
Causal Imitability Under Context-Specific Independence Relations NIPS 2023
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles AISTATS 2023
Video-Audio Domain Generalization via Confounder Disentanglement AAAI 2023
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference ACL 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models ICML 2023
Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective CVPR 2023
Non-stationary Experimental Design under Linear Trends NIPS 2023
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling EMNLP 2022
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts EMNLP 2022