causal identification

Mitigating Hallucinations in Large Language Models via Causal Reasoning AAAI 2026 Neural Network Parameter-optimization of Gaussian Pre-marginalized Directed Acyclic Graphs JMLR 2026 Spatio-Temporal Hierarchical Causal Models AAAI 2026 Algorithmic syntactic causal identification CLeaR 2025 Causal Identification for Complex Functional Longitudinal Studies ICLR 2025 Causal Identification in Time Series Models CLeaR 2025 Counterfactual Identification Under Monotonicity Constraints AAAI 2025 Consistency of Neural Causal Partial Identification NeurIPS 2024 Identification for Tree-Shaped Structural Causal Models in Polynomial Time AAAI 2024 Identifying Causal Effects Under Functional Dependencies NeurIPS 2024 Neural Causal Abstractions AAAI 2024 Causal Effect Identification in Uncertain Causal Networks NeurIPS 2023 Interventional Causal Representation Learning ICML 2023 Neural Causal Models for Counterfactual Identification and Estimation ICLR 2023 The Proximal ID Algorithm JMLR 2023 Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness NeurIPS 2022 Identification in Tree-shaped Linear Structural Causal Models AISTATS 2022 Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge NeurIPS 2022 A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models NeurIPS 2021 A Proxy Variable View of Shared Confounding ICML 2021 Asymptotically Best Causal Effect Identification with Multi-Armed Bandits NeurIPS 2021 Causal Identification with Matrix Equations NeurIPS 2021 Condition number bounds for causal inference UAI 2021 Exploiting Equality Constraints in Causal Inference AISTATS 2021 The Causal-Neural Connection: Expressiveness, Learnability, and Inference NeurIPS 2021