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Causal Inference

934 directly classified papers

Papers per year

Papers

Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs AAAI 2024
Identifiability Analysis of Linear ODE Systems with Hidden Confounders NIPS 2024
Distilling Causal Effect of Data in Continual Few-shot Relation Learning COLING 2024
How to Understand “Support”? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding COLING 2024
Towards Learning and Explaining Indirect Causal Effects in Neural Networks AAAI 2024
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation AAAI 2024
Learning the Topology and Behavior of Discrete Dynamical Systems AAAI 2024
Multi-Granularity Causal Structure Learning AAAI 2024
Causal Effect Identification in a Sub-Population with Latent Variables NIPS 2024
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series AAAI 2024
Fast Proxy Experiment Design for Causal Effect Identification NIPS 2024
Axiomatic Aggregations of Abductive Explanations AAAI 2024
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs AAAI 2024
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NIPS 2024
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding COLING 2024
Unveiling Currency Market Dynamics: Leveraging Federal Reserve Communications for Strategic Investment Insights COLING 2024
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation AAAI 2024
Mind the Graph When Balancing Data for Fairness or Robustness NIPS 2024
Smoke and Mirrors in Causal Downstream Tasks NIPS 2024
Learning Discrete Concepts in Latent Hierarchical Models NIPS 2024
DiffuCOMET: Contextual Commonsense Knowledge Diffusion ACL 2024
Measuring Goal-Directedness NIPS 2024
Sample Complexity of Interventional Causal Representation Learning NIPS 2024
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NIPS 2024