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Causal Inference
3310 directly classified papers
Papers per year
2002: 1
2003: 2
2004: 1
2005: 2
2006: 7
2007: 6
2008: 9
2009: 9
2010: 15
2011: 8
2012: 15
2013: 32
2014: 16
2015: 28
2016: 39
2017: 62
2018: 98
2019: 201
2020: 277
2021: 372
2022: 426
2023: 511
2024: 601
2025: 389
2026: 183
Papers
Mediation Analysis for Probabilities of Causation
AAAI 2025
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
IJCAI 2025
Flow-based Time-aware Causal Structure Learning for Sequential Recommendation
IJCAI 2025
Disconfounding Fake News Video Explanation with Causal Inference
IJCAI 2025
Hierarchy Knowledge Graph for Parameter-Efficient Entity Embedding
IJCAI 2025
Learning Local Neighborhoods of Non-Gaussian Graphical Models
AAAI 2025
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning
AAAI 2025
Dr.ECI: Infusing Large Language Models with Causal Knowledge for Decomposed Reasoning in Event Causality Identification
COLING 2025
Causality-Inspired Disentanglement for Fair Graph Neural Networks
IJCAI 2025
Inferring Past Human Actions in Homes with Abductive Reasoning
WACV 2025
Federated-Continual Dynamic Segmentation of Histopathology Guided by Barlow Continuity
WACV 2025
Invariant Shape Representation Learning for Image Classification
WACV 2025
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
AAAI 2025
Recognizing Unseen States of Unknown Objects by Leveraging Knowledge Graphs
WACV 2025
Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection
WACV 2025
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments
AAAI 2025
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
AAAI 2025
Recursive Causal Discovery
JMLR 2025
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
AAAI 2025
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback
AAAI 2025
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning
AAAI 2025
Degree of Interference: A General Framework For Causal Inference Under Interference
JMLR 2025
CASE: Large Scale Topic Exploitation for Decision Support Systems
COLING 2025
SemEval 2025 Task 10: Multilingual Characterization and Extraction of Narratives from Online News
ACL 2025
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability
JMLR 2025
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