Causal Inference

Learning Discrete Concepts in Latent Hierarchical Models NeurIPS 2024 Learning Discrete Latent Variable Structures with Tensor Rank Conditions NeurIPS 2024 Learning Divergence Fields for Shift-Robust Graph Representations ICML 2024 Learning Gaussian DAGs from Network Data JMLR 2024 Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes AISTATS 2024 Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NeurIPS 2024 Learning Mixtures of Unknown Causal Interventions NeurIPS 2024 Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias ICML 2024 Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise AAAI 2024 Learning the Topology and Behavior of Discrete Dynamical Systems AAAI 2024 Linear Causal Bandits: Unknown Graph and Soft Interventions NeurIPS 2024 Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs AAAI 2024 LLMs Are Prone to Fallacies in Causal Inference EMNLP 2024 Local Causal Discovery with Linear non-Gaussian Cyclic Models AISTATS 2024 Local Causal Structure Learning in the Presence of Latent Variables ICML 2024 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs UAI 2024 Localised Natural Causal Learning Algorithms for Weak Consistency Conditions UAI 2024 Markov Equivalence and Consistency in Differentiable Structure Learning NeurIPS 2024 Marrying Causal Representation Learning with Dynamical Systems for Science NeurIPS 2024 MDCR: A Dataset for Multi-Document Conditional Reasoning EMNLP 2024 Measuring Goal-Directedness NeurIPS 2024 MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning NeurIPS 2024 Membership Testing in Markov Equivalence Classes via Independence Queries AISTATS 2024 Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models COLING 2024 Mind the Graph When Balancing Data for Fairness or Robustness NeurIPS 2024