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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
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services
AAAI 2019
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding
ICML 2019
Orthogonal Random Forest for Causal Inference
ICML 2019
Causal Inference Under Interference And Network Uncertainty
UAI 2019
Sensitivity Analysis of Linear Structural Causal Models
ICML 2019
Interpretable Almost Matching Exactly With Instrumental Variables
UAI 2019
Identification In Missing Data Models Represented By Directed Acyclic Graphs
UAI 2019
On Open-Universe Causal Reasoning
UAI 2019
Exclusivity Graph Approach to Instrumental Inequalities
UAI 2019
Validating Causal Inference Models via Influence Functions
ICML 2019
Learning Models from Data with Measurement Error: Tackling Underreporting
ICML 2019
Detecting Causal Language Use in Science Findings
IJCNLP 2019
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions
NIPS 2019
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees
AAAI 2019
What Has Been Said? Identifying the Change Formula in a Belief Revision Scenario
IJCAI 2019
Interpretable Almost-Exact Matching for Causal Inference
AISTATS 2019
Three-quarter Sibling Regression for Denoising Observational Data
IJCAI 2019
Identification of Conditional Causal Effects under Markov Equivalence
NIPS 2019
Triad Constraints for Learning Causal Structure of Latent Variables
NIPS 2019
Causal Embeddings for Recommendation: An Extended Abstract
IJCAI 2019
Estimating Causal Effects of Tone in Online Debates
IJCAI 2019
CounterFactual Regression with Importance Sampling Weights
IJCAI 2019
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
EMNLP 2019
Social IQa: Commonsense Reasoning about Social Interactions
EMNLP 2019
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm
CVPR 2019
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