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← Core AI
Artificial Intelligence
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Core AI
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Causal Inference
3,310 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
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty
NIPS 2022
When Does Group Invariant Learning Survive Spurious Correlations?
NIPS 2022
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge
NIPS 2022
CLEVRER-Humans: Describing Physical and Causal Events the Human Way
NIPS 2022
Empirical Gateaux Derivatives for Causal Inference
NIPS 2022
Generalization Bounds for Estimating Causal Effects of Continuous Treatments
NIPS 2022
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time
NIPS 2022
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge
NIPS 2022
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
NIPS 2022
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
NIPS 2022
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
NIPS 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation
NIPS 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
NIPS 2022
Verification and search algorithms for causal DAGs
NIPS 2022
Causally motivated multi-shortcut identification and removal
NIPS 2022
Amortized Inference for Causal Structure Learning
NIPS 2022
Causal Inference with Non-IID Data using Linear Graphical Models
NIPS 2022
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions
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
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
NIPS 2022
Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery
NIPS 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
NIPS 2022
Truncated Matrix Power Iteration for Differentiable DAG Learning
NIPS 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
NIPS 2022
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