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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
Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing
NIPS 2023
Optimal Transport for Treatment Effect Estimation
NIPS 2023
Identification of Nonlinear Latent Hierarchical Models
NIPS 2023
CLadder: Assessing Causal Reasoning in Language Models
NIPS 2023
Thermal Spread Functions (TSF): Physics-Guided Material Classification
CVPR 2023
Weakly Supervised Temporal Sentence Grounding With Uncertainty-Guided Self-Training
CVPR 2023
Generator Identification for Linear SDEs with Additive and Multiplicative Noise
NIPS 2023
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control
NIPS 2023
An Efficient Doubly-Robust Test for the Kernel Treatment Effect
NIPS 2023
Causal normalizing flows: from theory to practice
NIPS 2023
A Meta-Reinforcement Learning Algorithm for Causal Discovery
CLEAR 2023
High Precision Causal Model Evaluation with Conditional Randomization
NIPS 2023
Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery
NIPS 2023
Meek Separators and Their Applications in Targeted Causal Discovery
NIPS 2023
Optimal Treatment Regimes for Proximal Causal Learning
NIPS 2023
Assumption violations in causal discovery and the robustness of score matching
NIPS 2023
Lifted Inference with Linear Order Axiom
AAAI 2023
Document-Level Event Argument Extraction With a Chain Reasoning Paradigm
ACL 2023
Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment
ACL 2023
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts
ACL 2023
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions
CLEAR 2023
Backtracking Counterfactuals
CLEAR 2023
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios
CLEAR 2023
On the Interventional Kullback-Leibler Divergence
CLEAR 2023
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction
CLEAR 2023
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