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Causal Inference

3,333 papers

Papers per year

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15
28
277
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Papers

Structure Learning Under Missing Data PGM 2018
Structure Learning for Bayesian Networks over Labeled DAGs PGM 2018
Consistent Estimation given Missing Data PGM 2018
Intervals of Causal Effects for Learning Causal Graphical Models PGM 2018
Learning Optimal Causal Graphs with Exact Search PGM 2018
Apollo at SemEval-2018 Task 9: Detecting Hypernymy Relations Using Syntactic Dependencies SEMEVAL 2018
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness NIPS 2017
Permutation-based Causal Inference Algorithms with Interventions NIPS 2017
Experimental Design for Learning Causal Graphs with Latent Variables NIPS 2017
Reliable Decision Support using Counterfactual Models NIPS 2017
Learning Causal Structures Using Regression Invariance NIPS 2017
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process NIPS 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes NIPS 2017
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity NIPS 2017
Causal Effect Inference with Deep Latent-Variable Models NIPS 2017
GP CaKe: Effective brain connectivity with causal kernels NIPS 2017
Counterfactual Fairness NIPS 2017
End-to-end Differentiable Proving NIPS 2017
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation NIPS 2017
Avoiding Discrimination through Causal Reasoning NIPS 2017
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics CORL 2017
Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems CORL 2017
Joint Learning for Event Coreference Resolution ACL 2017
Translating Neuralese ACL 2017
Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees ACL 2017