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Methodology
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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
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
JMLR 2023
Language Anisotropic Cross-Lingual Model Editing
ACL 2023
NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization
ACL 2023
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
ACL 2023
Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension
ACL 2023
Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference
ACL 2023
Constrained Causal Bayesian Optimization
ICML 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge
ICML 2023
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
ICML 2023
Explainable Data-Driven Optimization: From Context to Decision and Back Again
ICML 2023
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships
ICML 2023
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms
ICML 2023
Causal Strategic Classification: A Tale of Two Shifts
ICML 2023
Approximate Causal Effect Identification under Weak Confounding
ICML 2023
Estimating Joint Treatment Effects by Combining Multiple Experiments
ICML 2023
Propensity Matters: Measuring and Enhancing Balancing for Recommendation
ICML 2023
Additive Causal Bandits with Unknown Graph
ICML 2023
The Statistical Scope of Multicalibration
ICML 2023
DRCFS: Doubly Robust Causal Feature Selection
ICML 2023
Improving Fair Training under Correlation Shifts
ICML 2023
Statistical Inference on Multi-armed Bandits with Delayed Feedback
ICML 2023
Linear Causal Disentanglement via Interventions
ICML 2023
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
ICML 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
ICML 2023
Causal Isotonic Calibration for Heterogeneous Treatment Effects
ICML 2023
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