Causal Inference

Improving Generalization of Dynamic Graph Learning via Environment Prompt NeurIPS 2024 Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference ICML 2024 Improving Implicit Discourse Relation Recognition with Semantics Confrontation COLING 2024 Improving Large Language Models in Event Relation Logical Prediction ACL 2024 IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark NeurIPS 2024 Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference ICLR 2024 Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis COLING 2024 Inference Helps PLMs’ Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs EMNLP 2024 Inference of Neural Dynamics Using Switching Recurrent Neural Networks NeurIPS 2024 Inference of nonlinear causal effects with application to TWAS with GWAS summary data CLeaR 2024 Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments ICML 2024 Information-Theoretic Opacity-Enforcement in Markov Decision Processes IJCAI 2024 Informing climate risk analysis using textual information - A research agenda ACL 2024 Inherent limitations of dimensions for characterizing learnability of distribution classes COLT 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 Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data AISTATS 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 Invariant Causal Prediction with Local Models UAI 2024 Invariant Physics-Informed Neural Networks for Ordinary Differential Equations JMLR 2024 Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models ACL 2024