causal effect estimation

Beware of Hinges in Proximal Variables Regression: Adjusting for Colliding-Mediators with Nuisance PV CLeaR 2026 Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models JMLR 2026 IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery CLeaR 2026 Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables ICLR 2025 Density Ratio-based Proxy Causal Learning Without Density Ratios AISTATS 2025 Estimating Causal Effects of Text Interventions Leveraging LLMs IJCNLP 2025 Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation AISTATS 2025 Kernel Single Proxy Control for Deterministic Confounding AISTATS 2025 Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey NAACL 2025 Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning IJCAI 2025 PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects AAAI 2025 Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set CLeaR 2025 Q-function Decomposition with Intervention Semantics for Factored Action Spaces AISTATS 2025 Sampling Boundary for Causal Effect Estimation ACML 2025 SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph AISTATS 2025 Spectral Representation for Causal Estimation with Hidden Confounders AISTATS 2025 Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do ICLR 2025 AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments EMNLP 2024 Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder ICLR 2024 Causal Matching using Random Hyperplane Tessellations CLeaR 2024 Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand NeurIPS 2024 Do Finetti: On Causal Effects for Exchangeable Data NeurIPS 2024 DoubleLingo: Causal Estimation with Large Language Models NAACL 2024 Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning ICML 2024 End-To-End Causal Effect Estimation from Unstructured Natural Language Data NeurIPS 2024