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Methodology
← Core AI
Artificial Intelligence
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Core AI
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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
Semiparametric Efficient Inference in Adaptive Experiments
CLEAR 2024
Structure Learning with Continuous Optimization: A Sober Look and Beyond
CLEAR 2024
Cautionary Tales on Synthetic Controls in Survival Analyses
CLEAR 2024
Extracting the Multiscale Causal Backbone of Brain Dynamics
CLEAR 2024
Causal Discovery Under Local Privacy
CLEAR 2024
Confounded Budgeted Causal Bandits
CLEAR 2024
Inference of nonlinear causal effects with application to TWAS with GWAS summary data
CLEAR 2024
Lifted Causal Inference in Relational Domains
CLEAR 2024
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models
CLEAR 2024
Causal State Distillation for Explainable Reinforcement Learning
CLEAR 2024
Pragmatic Fairness: Developing Policies with Outcome Disparity Control
CLEAR 2024
Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment
CLEAR 2024
Fundamental Properties of Causal Entropy and Information Gain
CLEAR 2024
On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and Necessity Criteria in Explainable AI
CLEAR 2024
The PetShop Dataset — Finding Causes of Performance Issues across Microservices
CLEAR 2024
Meaningful Causal Aggregation and Paradoxical Confounding
CLEAR 2024
Improving Implicit Discourse Relation Recognition with Semantics Confrontation
COLING 2024
Can Large Language Models (or Humans) Disentangle Text?
NAACL 2024
Retrieval Augmented Generation of Subjective Explanations for Socioeconomic Scenarios
NAACL 2024
Identifiability Guarantees for Causal Disentanglement from Purely Observational Data
NIPS 2024
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics
NIPS 2024
Disentangled Representation Learning in Non-Markovian Causal Systems
NIPS 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
NIPS 2024
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
NIPS 2024
MARPLE: A Benchmark for Long-Horizon Inference
NIPS 2024
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