Knowledge & Reasoning › Reasoning ›

Causal Inference

934 directly classified papers

Papers per year

Papers

On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NIPS 2024

Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models AISTATS 2024

Reward-Relevance-Filtered Linear Offline Reinforcement Learning AISTATS 2024

CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention IJCAI 2024

DiffuCOMET: Contextual Commonsense Knowledge Diffusion ACL 2024

Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa IJCAI 2024

Causal Q-Aggregation for CATE Model Selection AISTATS 2024

Benchmarking Observational Studies with Experimental Data under Right-Censoring AISTATS 2024

Individual Causal Structure Learning from Population Data IJCAI 2024

Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference IJCAI 2024

Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models COLING 2024

Causal Modeling with Stationary Diffusions AISTATS 2024

JEMHopQA: Dataset for Japanese Explainable Multi-Hop Question Answering COLING 2024

Distilling Causal Effect of Data in Continual Few-shot Relation Learning COLING 2024

Unveiling Currency Market Dynamics: Leveraging Federal Reserve Communications for Strategic Investment Insights COLING 2024

Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network AAAI 2024

Causal Discovery under Off-Target Interventions AISTATS 2024

Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding COLING 2024

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024

How to Understand “Support”? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding COLING 2024

Marrying Causal Representation Learning with Dynamical Systems for Science NIPS 2024

Qualitative Mechanism Independence NIPS 2024

Achievable distributional robustness when the robust risk is only partially identified NIPS 2024

When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding NIPS 2024

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes AISTATS 2024