Causal Inference

Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NeurIPS 2024 Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention NeurIPS 2024 G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes MLHC 2024 Guided Knowledge Generation with Language Models for Commonsense Reasoning EMNLP 2024 Hacking Task Confounder in Meta-Learning IJCAI 2024 Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction IJCAI 2024 Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables AAAI 2024 Hierarchical and Density-based Causal Clustering NeurIPS 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024 How and where does CLIP process negation? ACL 2024 How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study ACL 2024 How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024 How Transformers Learn Causal Structure with Gradient Descent ICML 2024 How Well Do Tweets Represent Sub-Dialects of Egyptian Arabic? NAACL 2024 Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response ICML 2024 HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings WACV 2024 Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study CLeaR 2024 Hypothesis Generation with Large Language Models EMNLP 2024 Hypothesis Search: Inductive Reasoning with Language Models ICLR 2024 Identifiability Analysis of Linear ODE Systems with Hidden Confounders NeurIPS 2024 Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024 Identifiability Guarantees for Causal Disentanglement from Purely Observational Data NeurIPS 2024 Identifiability of Direct Effects from Summary Causal Graphs AAAI 2024 Identifiability of total effects from abstractions of time series causal graphs UAI 2024 Identifiable Latent Polynomial Causal Models through the Lens of Change ICLR 2024