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Causal Inference

934 directly classified papers

Papers per year

Papers

MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning NIPS 2024
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis AAAI 2024
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs AAAI 2024
Qualitative Mechanism Independence NIPS 2024
Intervention and Conditioning in Causal Bayesian Networks NIPS 2024
Unveiling Currency Market Dynamics: Leveraging Federal Reserve Communications for Strategic Investment Insights COLING 2024
How to Understand “Support”? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding COLING 2024
Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting ACL 2024
Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation NIPS 2024
Identifying Causal Effects Under Functional Dependencies NIPS 2024
DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models JMLR 2024
When Causal Inference Meets Graph Machine Learning AAAI 2024
DiffuCOMET: Contextual Commonsense Knowledge Diffusion ACL 2024
Discovering Heterogeneous Causal Effects in Relational Data AAAI 2024
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding COLING 2024
Discovering Agents (Abstract Reprint) AAAI 2024
Reasoning about Causality in Games (Abstract Reprint) AAAI 2024
Interventional Causal Discovery in a Mixture of DAGs NIPS 2024
CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention IJCAI 2024
Unit Selection with Nonbinary Treatment and Effect AAAI 2024
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models ACL 2024
MDCR: A Dataset for Multi-Document Conditional Reasoning EMNLP 2024
Causally Aware Generative Adversarial Networks for Light Pollution Control AAAI 2024
Distilling Causal Effect of Data in Continual Few-shot Relation Learning COLING 2024
Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models NIPS 2024