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causal inference

1,860 papers

CI

Papers

De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024 DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention ACL 2024 DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation NeurIPS 2024 Defining Expertise: Applications to Treatment Effect Estimation ICLR 2024 Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding ICLR 2024 Desiderata for Representation Learning: A Causal Perspective JMLR 2024 Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens CLeaR 2024 Detecting and Measuring Confounding Using Causal Mechanism Shifts NeurIPS 2024 Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach AAAI 2024 DiffPO: A causal diffusion model for learning distributions of potential outcomes NeurIPS 2024 DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference ACL 2024 Discovering Agents (Abstract Reprint) AAAI 2024 Discovering Heterogeneous Causal Effects in Relational Data AAAI 2024 Discovering influential text using convolutional neural networks ACL 2024 Disentangled Representation Learning in Non-Markovian Causal Systems NeurIPS 2024 Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024 Distilling Causal Effect of Data in Continual Few-shot Relation Learning COLING 2024 Do causal predictors generalize better to new domains? NeurIPS 2024 Do large language models and humans have similar behaviours in causal inference with script knowledge? NAACL 2024 Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis EMNLP 2024 Domain constraints improve risk prediction when outcome data is missing ICLR 2024 Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis COLING 2024 Doubly Robust Proximal Causal Learning for Continuous Treatments ICLR 2024 DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models JMLR 2024 Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection EMNLP 2024