causal inference

Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals ICLR 2024 Faithful graphical representations of local independence AISTATS 2024 Fast Proxy Experiment Design for Causal Effect Identification NeurIPS 2024 Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph COLING 2024 From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks ICML 2024 Fundamental Properties of Causal Entropy and Information Gain CLeaR 2024 FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NeurIPS 2024 Fusing Individualized Treatment Rules Using Secondary Outcomes AISTATS 2024 General Identifiability and Achievability for Causal Representation Learning AISTATS 2024 Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length JMLR 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024 Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NeurIPS 2024 Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction IJCAI 2024 Hidden yet quantifiable: A lower bound for confounding strength using randomized trials AISTATS 2024 Hierarchical and Density-based Causal Clustering NeurIPS 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024 How to Understand “Support”? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding COLING 2024 HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs NAACL 2024 Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study CLeaR 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 of Direct Effects from Summary Causal Graphs AAAI 2024 Identification and Estimation of “Causes of Effects” using Covariate-Mediator Information AISTATS 2024 Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable UAI 2024 Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments NeurIPS 2024