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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
Avoiding Discrimination through Causal Reasoning
NIPS 2017
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
NIPS 2017
GP CaKe: Effective brain connectivity with causal kernels
NIPS 2017
Learning Causal Structures Using Regression Invariance
NIPS 2017
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
NIPS 2017
Permutation-based Causal Inference Algorithms with Interventions
NIPS 2017
Identifying Best Interventions through Online Importance Sampling
ICML 2017
Symbolic Priors for RNN-based Semantic Parsing
IJCAI 2017
Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination
IJCAI 2017
Faithfulness of Probability Distributions and Graphs
JMLR 2017
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract)
IJCAI 2017
A Causal Framework for Discovering and Removing Direct and Indirect Discrimination
IJCAI 2017
Translating Neuralese
ACL 2017
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics
CORL 2017
Opinion-aware Knowledge Graph for Political Ideology Detection
IJCAI 2017
Some Properties of Batch Value of Information in the Selection Problem (Extended Abstract)
IJCAI 2017
Inverse Compositional Spatial Transformer Networks
CVPR 2017
Learning a Ground Truth Ranking Using Noisy Approval Votes
IJCAI 2017
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference
ICML 2017
A Core-Guided Approach to Learning Optimal Causal Graphs
IJCAI 2017
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness
AISTATS 2017
A Framework for Optimal Matching for Causal Inference
AISTATS 2017
Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models
JMLR 2017
Marine Variable Linker: Exploring Relations between Changing Variables in Marine Science Literature
EACL 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
ICML 2017
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