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Causal Inference
523 directly classified papers
Papers per year
2007: 1
2008: 4
2009: 1
2010: 5
2011: 1
2012: 2
2013: 4
2014: 4
2015: 5
2016: 12
2017: 12
2018: 23
2019: 39
2020: 48
2021: 63
2022: 85
2023: 84
2024: 85
2025: 45
Papers
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
AAAI 2025
Fairness-Accuracy Trade-Offs: A Causal Perspective
AAAI 2025
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
AAAI 2025
Learning Structural Causal Models from Ordering: Identifiable Flow Models
AAAI 2025
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization
AAAI 2025
Causally Consistent Normalizing Flow
AAAI 2025
A Practical Approach to Causal Inference over Time
AAAI 2025
Debiased Multimodal Understanding for Human Language Sequences
AAAI 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
AAAI 2025
Federated Causally Invariant Feature Learning
AAAI 2025
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
AAAI 2025
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates
AAAI 2025
FIND: A Framework for Discovering Formulas in Data
AAAI 2025
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework
AAAI 2025
Cross-modal Causal Relation Alignment for Video Question Grounding
CVPR 2025
The Missing Cause: An Analysis of Causal Attributions in Reporting on Palestine
COLING 2025
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference
CVPR 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
IJCAI 2025
Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
AAAI 2025
Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis
WACV 2025
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
AAAI 2025
Causal Discovery by Interventions via Integer Programming
AAAI 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise
AAAI 2025
Local Causal Discovery Without Causal Sufficiency
AAAI 2025
Toward Falsifying Causal Graphs Using a Permutation-Based Test
AAAI 2025
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