James Jordon

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 30

Top Topics

Privacy Guarantees

Generative Topographic Mapping

Clinical Trials

Top Venues

Publications

Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar
To Impute or not to Impute? Missing Data in Treatment Effect Estimation. AISTATS (2023)
James Jordon, Lukasz Szpruch, Florimond Houssiau, Mirko Bottarelli, Giovanni Cherubin, Carsten Maple, Samuel N. Cohen, Adrian Weller
Synthetic Data - what, why and how? CoRR (2022)
Florimond Houssiau, James Jordon, Samuel N. Cohen, Owen Daniel, Andrew Elliott, James Geddes, Callum D. Mole, Camila Rangel Smith, Lukasz Szpruch
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data. CoRR (2022)
Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar
To Impute or not to Impute? - Missing Data in Treatment Effect Estimation. CoRR (2022)
Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. ICML (2021)
James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. NeurIPS (Competition and Demos) (2020)
Ioana Bica, James Jordon, Mihaela van der Schaar
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks. NeurIPS (2020)
Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar
Contextual Constrained Learning for Dose-Finding Clinical Trials. CoRR (2020)
Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations. CoRR (2020)
Jeroen Berrevoets, James Jordon, Ioana Bica, Alexander Gimson, Mihaela van der Schaar
OrganITE: Optimal transplant donor organ offering using an individual treatment effect. NeurIPS (2020)
Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
Estimating counterfactual treatment outcomes over time through adversarially balanced representations. ICLR (2020)
Jinsung Yoon, Yao Zhang, James Jordon, Mihaela van der Schaar
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain. NeurIPS (2020)
Ioana Bica, James Jordon, Mihaela van der Schaar
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks. CoRR (2020)
Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar
Contextual Constrained Learning for Dose-Finding Clinical Trials. AISTATS (2020)
James Jordon, Alan Wilson, Mihaela van der Schaar
Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods. CoRR (2020)
James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
Hide-and-Seek Privacy Challenge. CoRR (2020)
James Jordon, Jinsung Yoon, Mihaela van der Schaar
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate. NeurIPS (2019)
James Jordon, Jinsung Yoon, Mihaela van der Schaar
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks. ICLR (2019)
Jinsung Yoon, James Jordon, Mihaela van der Schaar
INVASE: Instance-wise Variable Selection using Neural Networks. ICLR (Poster) (2019)
Yao Zhang, James Jordon, Ahmed M. Alaa, Mihaela van der Schaar
Lifelong Bayesian Optimization. CoRR (2019)
James Jordon, Jinsung Yoon, Mihaela van der Schaar
PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees. ICLR (Poster) (2019)
Jinsung Yoon, James Jordon, Mihaela van der Schaar
ASAC: Active Sensing using Actor-Critic models. CoRR (2019)
Jinsung Yoon, James Jordon, Mihaela van der Schaar
ASAC: Active Sensing using Actor-Critic models. MLHC (2019)
James Jordon, Jinsung Yoon, Mihaela van der Schaar
Measuring the quality of Synthetic data for use in competitions. CoRR (2018)
Jinsung Yoon, James Jordon, Mihaela van der Schaar
GAIN: Missing Data Imputation using Generative Adversarial Nets. CoRR (2018)
Jinsung Yoon, James Jordon, Mihaela van der Schaar
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks. ICML (2018)
Jinsung Yoon, James Jordon, Mihaela van der Schaar
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks. CoRR (2018)
Onur Atan, James Jordon, Mihaela van der Schaar
Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks. AAAI (2018)
Jinsung Yoon, James Jordon, Mihaela van der Schaar
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets. ICLR (Poster) (2018)
Jinsung Yoon, James Jordon, Mihaela van der Schaar
GAIN: Missing Data Imputation using Generative Adversarial Nets. ICML (2018)