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Causal Inference

3310 directly classified papers

Papers per year

Papers

Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024

Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments NIPS 2024

A Hierarchical Network for Multimodal Document-Level Relation Extraction AAAI 2024

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation AAAI 2024

CLEAR: Can Language Models Really Understand Causal Graphs? EMNLP 2024

Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series AAAI 2024

A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024

Effective Causal Discovery under Identifiable Heteroscedastic Noise Model AAAI 2024

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs COLING 2024

Safe Abductive Learning in the Presence of Inaccurate Rules AAAI 2024

Sample Complexity of Interventional Causal Representation Learning NIPS 2024

The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning EMNLP 2024

Federated Causality Learning with Explainable Adaptive Optimization AAAI 2024

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport AAAI 2024

JFLD: A Japanese Benchmark for Deductive Reasoning Based on Formal Logic COLING 2024

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning AAAI 2024

Causal Strategic Learning with Competitive Selection AAAI 2024

Explanation Extraction from Hierarchical Classification Frameworks for Long Legal Documents NAACL 2024

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees AAAI 2024

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation AAAI 2024

Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise AAAI 2024

Towards Learning and Explaining Indirect Causal Effects in Neural Networks AAAI 2024

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps NIPS 2024

Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering EMNLP 2024