Causal Inference

Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024 A Linear Algebraic Framework for Counterfactual Generation ICLR 2024 A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs NeurIPS 2024 A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation COLING 2024 Alternative Measures of Direct and Indirect Effects PGM 2024 Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models ICML 2024 Amortized Active Causal Induction with Deep Reinforcement Learning NeurIPS 2024 AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification ICLR 2024 An effective framework for estimating individualized treatment rules NeurIPS 2024 An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series ICML 2024 A Neural Framework for Generalized Causal Sensitivity Analysis ICLR 2024 An Event-based Abductive Learning for Hard Time-sensitive Question Answering COLING 2024 A New Paradigm for Counterfactual Reasoning in Fairness and Recourse IJCAI 2024 A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning EMNLP 2024 An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis CLeaR 2024 Annotation of Japanese Discourse Relations Focusing on Concessive Inferences COLING 2024 A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution NAACL 2024 Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? NeurIPS 2024 A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect EMNLP 2024 A Semi-parametric Estimation of Personalized Dose-response Function Using Instrumental Variables JMLR 2024 A Sparsity Principle for Partially Observable Causal Representation Learning ICML 2024 Assessing the Overall and Partial Causal Well-Specification of Nonlinear Additive Noise Models JMLR 2024 Association Pattern-aware Fusion for Biological Entity Relationship Prediction NeurIPS 2024 A Study on Scaling Up Multilingual News Framing Analysis NAACL 2024 Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing ICML 2024