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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
Apparently Irrational Choice as Optimal Sequential Decision Making
AAAI 2021
Reward Identification in Inverse Reinforcement Learning
ICML 2021
Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract)
AAAI 2021
Abductive Learning with Ground Knowledge Base
IJCAI 2021
Ontology-Enriched Query Answering on Relational Databases
AAAI 2021
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
AAAI 2021
Anonymous Speaker Clusters: Making Distinctions Between Anonymised Speech Recordings with Clustering Interface
INTERSPEECH 2021
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
NIPS 2020
A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments
AAAI 2020
FairyTED: A Fair Rating Predictor for TED Talk Data
AAAI 2020
Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management
AAAI 2020
Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation
AAAI 2020
Blameworthiness in Security Games
AAAI 2020
Distributionally Robust Counterfactual Risk Minimization
AAAI 2020
A Bayesian Approach for Estimating Causal Effects from Observational Data
AAAI 2020
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets
AAAI 2020
Estimating Causal Effects Using Weighting-Based Estimators
AAAI 2020
General Transportability – Synthesizing Observations and Experiments from Heterogeneous Domains
AAAI 2020
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models
AAAI 2020
Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies
AAAI 2020
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract)
AAAI 2020
Causal Modeling for Fairness In Dynamical Systems
ICML 2020
Analogous Process Structure Induction for Sub-event Sequence Prediction
EMNLP 2020
De-Biased Court’s View Generation with Causality
EMNLP 2020
DeBayes: a Bayesian Method for Debiasing Network Embeddings
ICML 2020
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