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Methodology
← Core AI
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
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding
CLEAR 2023
Do language models have coherent mental models of everyday things?
ACL 2023
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions
NIPS 2023
Do Not Marginalize Mechanisms, Rather Consolidate!
NIPS 2023
Rehearsal Learning for Avoiding Undesired Future
NIPS 2023
Understanding More Knowledge Makes the Transformer Perform Better in Document-level Relation Extraction
ACML 2023
Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions
MLHC 2023
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
CLEAR 2023
Nyström $M$-Hilbert-Schmidt independence criterion
UAI 2023
Functional causal Bayesian optimization
UAI 2023
Adaptivity Complexity for Causal Graph Discovery
UAI 2023
Enhancing Treatment Effect Estimation: A Model Robust Approach Integrating Randomized Experiments and External Controls using the Double Penalty Integration Estimator
UAI 2023
Mixture of Normalizing Flows for European Option Pricing
UAI 2023
BISCUIT: Causal Representation Learning from Binary Interactions
UAI 2023
Uncovering the Varied Impact of Behavioral Change Messages on Population Groups
MLHC 2023
Causal Reasoning of Entities and Events in Procedural Texts
EACL 2023
CALM-Bench: A Multi-task Benchmark for Evaluating Causality-Aware Language Models
EACL 2023
Implicit Temporal Reasoning for Evidence-Based Fact-Checking
EACL 2023
Learning the Effects of Physical Actions in a Multi-modal Environment
EACL 2023
Identifying the limits of transformers when performing model-checking with natural language
EACL 2023
Inference on Strongly Identified Functionals of Weakly Identified Functions
COLT 2023
Factorization of the Partial Covariance in Singly-Connected Path Diagrams
CLEAR 2023
Instrumental Processes Using Integrated Covariances
CLEAR 2023
Practical Algorithms for Orientations of Partially Directed Graphical Models
CLEAR 2023
Stochastic Causal Programming for Bounding Treatment Effects
CLEAR 2023
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