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Causal Inference

636 papers

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Papers

Interventional Causal Discovery in a Mixture of DAGs NeurIPS 2024 Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach ICLR 2024 Invariant Causal Prediction with Local Models UAI 2024 Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models PGM 2024 KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs AAAI 2024 Learning Causal Abstractions of Linear Structural Causal Models UAI 2024 Learning Causal Markov Boundaries with Mixed Observational and Experimental Data PGM 2024 Learning Diffusions under Uncertainty AAAI 2024 Learning Fair Policies for Multi-Stage Selection Problems from Observational Data AAAI 2024 Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NeurIPS 2024 Limits of Approximating the Median Treatment Effect COLT 2024 Linear Causal Bandits: Unknown Graph and Soft Interventions NeurIPS 2024 Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs AAAI 2024 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs UAI 2024 Long-Term Fair Decision Making through Deep Generative Models AAAI 2024 Marrying Causal Representation Learning with Dynamical Systems for Science NeurIPS 2024 MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning NeurIPS 2024 Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making NeurIPS 2024 Mind the Graph When Balancing Data for Fairness or Robustness NeurIPS 2024 Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network AAAI 2024 Neural Causal Abstractions AAAI 2024 On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models JMLR 2024 On the Actionability of Outcome Prediction AAAI 2024 On the Misspecification of Linear Assumptions in Synthetic Controls AISTATS 2024 On the Parameter Identifiability of Partially Observed Linear Causal Models NeurIPS 2024