causal inference

Identification for Tree-Shaped Structural Causal Models in Polynomial Time AAAI 2024 Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching AAAI 2024 Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024 Identifying General Mechanism Shifts in Linear Causal Representations NeurIPS 2024 Identifying Representations for Intervention Extrapolation ICLR 2024 Identifying while Learning for Document Event Causality Identification ACL 2024 Implicit Personalization in Language Models: A Systematic Study EMNLP 2024 Improving Generalization of Dynamic Graph Learning via Environment Prompt NeurIPS 2024 Improving Large Language Models in Event Relation Logical Prediction ACL 2024 Improving Non-Transferable Representation Learning by Harnessing Content and Style ICLR 2024 IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark NeurIPS 2024 Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach ICML 2024 Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference ICLR 2024 Inference of nonlinear causal effects with application to TWAS with GWAS summary data CLeaR 2024 In Pursuit of Causal Label Correlations for Multi-label Image Recognition NeurIPS 2024 Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders AAAI 2024 Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning JMLR 2024 Interventional Causal Discovery in a Mixture of DAGs NeurIPS 2024 Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach ICLR 2024 Interventionally Consistent Surrogates for Complex Simulation Models NeurIPS 2024 Intervention and Conditioning in Causal Bayesian Networks NeurIPS 2024 Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization NeurIPS 2024 Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching ICLR 2024 KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation IJCAI 2024 KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs AAAI 2024