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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
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
NIPS 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
NIPS 2022
Factored Adaptation for Non-Stationary Reinforcement Learning
NIPS 2022
Off-Policy Evaluation with Policy-Dependent Optimization Response
NIPS 2022
Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning
NIPS 2022
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
NIPS 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
NIPS 2022
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
NIPS 2022
Causal Discovery in Linear Latent Variable Models Subject to Measurement Error
NIPS 2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
NIPS 2022
Sample Constrained Treatment Effect Estimation
NIPS 2022
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge
NIPS 2022
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
NIPS 2022
Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models
NIPS 2022
Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records
NIPS 2022
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
NIPS 2022
Root Cause Analysis of Failures in Microservices through Causal Discovery
NIPS 2022
Anticipating Performativity by Predicting from Predictions
NIPS 2022
Estimation of Local Average Treatment Effect by Data Combination
AAAI 2022
Achieving Long-Term Fairness in Sequential Decision Making
AAAI 2022
On the Fairness of Causal Algorithmic Recourse
AAAI 2022
C2L: Causally Contrastive Learning for Robust Text Classification
AAAI 2022
Parsing as Deduction Revisited: Using an Automatic Theorem Prover to Solve an SMT Model of a Minimalist Parser
CONLL 2022
Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response
CLEAR 2022
VIM: Variational Independent Modules for Video Prediction
CLEAR 2022
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