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Methodology
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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
Sample Efficient Active Learning of Causal Trees
NIPS 2019
Identifying Predictive Causal Factors from News Streams
EMNLP 2019
Policy Evaluation with Latent Confounders via Optimal Balance
NIPS 2019
Testing Conditional Independence on Discrete Data using Stochastic Complexity
AISTATS 2019
Learning to Infer Entities, Properties and their Relations from Clinical Conversations
EMNLP 2019
Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution
CVPR 2019
Implicitly learning to reason in first-order logic
NIPS 2019
Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series
MLHC 2019
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits
NIPS 2019
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
NIPS 2019
Visual Concept-Metaconcept Learning
NIPS 2019
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules
NIPS 2019
Causal Identification under Markov Equivalence: Completeness Results
ICML 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction
MLHC 2019
Intragestural Variation in Natural Sentence Production: Essential Tremor Patients Treated with DBS
INTERSPEECH 2019
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series
MLHC 2019
Extracting Common Inference Patterns from Semi-Structured Explanations
EMNLP 2019
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
ICCV 2019
An Algorithm to Learn Polytree Networks with Hidden Nodes
NIPS 2019
Improving Neural Story Generation by Targeted Common Sense Grounding
EMNLP 2019
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models
NAACL 2019
Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach
AAAI 2019
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds
NIPS 2019
Finding Minimal d-separators in Linear Time and Applications
UAI 2019
Intervening on Network Ties
UAI 2019
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