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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
Estimating treatment effects from single-arm trials via latent-variable modeling
AISTATS 2024
Causal Modeling with Stationary Diffusions
AISTATS 2024
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
IJCAI 2024
Positivity-free Policy Learning with Observational Data
AISTATS 2024
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data
ACL 2024
Causal Estimation of Memorisation Profiles
ACL 2024
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference
ACL 2024
Identifying and Mitigating Annotation Bias in Natural Language Understanding using Causal Mediation Analysis
ACL 2024
Identifying General Mechanism Shifts in Linear Causal Representations
NIPS 2024
A/B testing under Interference with Partial Network Information
AISTATS 2024
CausalCite: A Causal Formulation of Paper Citations
ACL 2024
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
NIPS 2024
s-ID: Causal Effect Identification in a Sub-population
AAAI 2024
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
AAAI 2024
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
AAAI 2024
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention
ACL 2024
CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification
AAAI 2024
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
AAAI 2024
Rethinking Causal Relationships Learning in Graph Neural Networks
AAAI 2024
Causal Representation Learning via Counterfactual Intervention
AAAI 2024
Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data
NIPS 2024
Learning Diffusions under Uncertainty
AAAI 2024
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs
AAAI 2024
Causal-Driven Skill Prerequisite Structure Discovery
AAAI 2024
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation
AAAI 2024
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