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Methodology
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Artificial Intelligence
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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
Conditions for parameter unidentifiability of linear ARX systems for enhancing security
L4DC 2024
Data-driven bifurcation analysis via learning of homeomorphism
L4DC 2024
ExChain: Exception Dependency Analysis for Root Cause Diagnosis
NSDI 2024
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
AAAI 2024
Learning true objectives: Linear algebraic characterizations of identifiability in inverse reinforcement learning
L4DC 2024
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse
IJCAI 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges
IJCAI 2024
Causal ATE Mitigates Unintended Bias in Controlled Text Generation
CONLL 2024
Hacking Task Confounder in Meta-Learning
IJCAI 2024
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes
NIPS 2024
CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations
IJCAI 2024
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving
EMNLP 2024
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
IJCAI 2024
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning
EMNLP 2024
Identifying Causal Effects Under Functional Dependencies
NIPS 2024
Optimization Under Epistemic Uncertainty Using Prediction
IJCAI 2024
A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning
EMNLP 2024
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
EMNLP 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
IJCAI 2024
Interventional Causal Discovery in a Mixture of DAGs
NIPS 2024
Information-Theoretic Opacity-Enforcement in Markov Decision Processes
IJCAI 2024
Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa
IJCAI 2024
What’s wrong with your model? A Quantitative Analysis of Relation Classification
NAACL 2024
TW-NLP at SemEval-2024 Task10: Emotion Recognition and Emotion Reversal Inference in Multi-Party Dialogues.
NAACL 2024
Detecting and Measuring Confounding Using Causal Mechanism Shifts
NIPS 2024
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