James Jordon - Concepedia

Concepedia

Author

James Jordon

University of Oxford

Also Known As

James Jordon, Jordon, James

25

Publications

1.4K

Citations

11

H-Index

43

Concepts

All Affiliations

University of Oxford University of California, Los Angeles University of Cambridge Turing Institute

JJ

About

James Jordon is an author at University of Oxford specializing in data science, engineering, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	1.3K
2	Computer Science	10	10	1.3K
3	Medicine	2	2	79
4	Management	1	1	16
5	Biostatistics	1	1	31

James Jordon

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13

Publications

1.4K

Citations

11

H-Index

	Year	Citations
GAIN: Missing Data Imputation using Generative Adversarial Nets Jinsung Yoon, James Jordon, Mihaela van der Schaar arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceGenerative Adversarial Network	2018	525
PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees James Jordon, Jinsung Yoon, Mihaela van der Schaar International Conference on Learning Representations Privacy ProtectionDifferential Privacy GuaranteesEngineeringData ScienceSynthetic Data	2018	289
GAIN: Missing Data Imputation using Generative Adversarial Nets Jinsung Yoon, James Jordon, Mihaela van der Schaar International Conference on Machine Learning Artificial IntelligenceEngineeringMachine LearningData ScienceGenerative Adversarial Network	2018	137
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain Jinsung Yoon, Yao Zhang, James Jordon, Neural Information Processing Systems Artificial IntelligenceNatural Language ProcessingTabular DomainEngineeringMachine Learning	2020	102
INVASE: Instance-wise Variable Selection using Neural Networks Jinsung Yoon, James Jordon, Mihaela van der Schaar International Conference on Learning Representations Instance-based LearningEngineeringMachine LearningData ScienceData Mining	2018	82
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks Ioana Bica, James Jordon, Mihaela van der Schaar arXiv (Cornell University) Artificial IntelligenceDosage ParameterData AugmentationGenerative SystemEngineering	2020	49
Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks Onur Atan, James Jordon, Mihaela van der Schaar Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceEngineeringMachine LearningTreatment EffectClinical Guidelines	2018	48
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks James Jordon, Jinsung Yoon, Mihaela van der Schaar International Conference on Learning Representations Artificial IntelligenceEngineeringMachine LearningData ScienceGenerative Adversarial Network	2018	40
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations Ioana Bica, Ahmed M. Alaa, James Jordon, arXiv (Cornell University) EngineeringMachine LearningSequential LearningTreatment EffectRecurrent Neural Network	2020	31
Measuring the quality of Synthetic data for use in competitions James Jordon, Jinsung Yoon, Mihaela van der Schaar arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData PreparationSynthetic Dataset	2018	16

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