Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks. - Onur Atan; James Jordon; Mihaela van der Schaar (AAAI, 2018)

GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets. - Jinsung Yoon; James Jordon; Mihaela van der Schaar (ICLR (Poster), 2018)

GAIN: Missing Data Imputation using Generative Adversarial Nets. - Jinsung Yoon; James Jordon; Mihaela van der Schaar (ICML, 2018)

RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks. - Jinsung Yoon; James Jordon; Mihaela van der Schaar (ICML, 2018)

Measuring the quality of Synthetic data for use in competitions. - James Jordon; Jinsung Yoon; Mihaela van der Schaar (CoRR, 2018)

KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks. - James Jordon; Jinsung Yoon; Mihaela van der Schaar (ICLR, 2019)

PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees. - James Jordon; Jinsung Yoon; Mihaela van der Schaar (ICLR (Poster), 2019)

INVASE: Instance-wise Variable Selection using Neural Networks. - Jinsung Yoon; James Jordon; Mihaela van der Schaar (ICLR (Poster), 2019)

ASAC: Active Sensing using Actor-Critic models. - Jinsung Yoon; James Jordon; Mihaela van der Schaar (MLHC, 2019)

Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate. - James Jordon; Jinsung Yoon; Mihaela van der Schaar (NeurIPS, 2019)

Lifelong Bayesian Optimization. - Yao Zhang; James Jordon; Ahmed M. Alaa; Mihaela van der Schaar (CoRR, 2019)

Contextual Constrained Learning for Dose-Finding Clinical Trials. - Hyun-Suk Lee; Cong Shen 001; James Jordon; Mihaela van der Schaar (AISTATS, 2020)

Estimating counterfactual treatment outcomes over time through adversarially balanced representations. - Ioana Bica; Ahmed M. Alaa; James Jordon; Mihaela van der Schaar (ICLR, 2020)

OrganITE: Optimal transplant donor organ offering using an individual treatment effect. - Jeroen Berrevoets; James Jordon; Ioana Bica; Alexander Gimson; Mihaela van der Schaar (NeurIPS, 2020)

Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks. - Ioana Bica; James Jordon; Mihaela van der Schaar (NeurIPS, 2020)

Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. - James Jordon; Daniel Jarrett; Evgeny Saveliev; Jinsung Yoon; Paul W. G. Elbers; Patrick Thoral; Ari Ercole; Cheng Zhang 005; Danielle Belgrave; Mihaela van der Schaar (NeurIPS (Competition and Demos), 2020)

VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain. - Jinsung Yoon; Yao Zhang; James Jordon; Mihaela van der Schaar (NeurIPS, 2020)

Hide-and-Seek Privacy Challenge. - James Jordon; Daniel Jarrett; Jinsung Yoon; Tavian Barnes; Paul W. G. Elbers; Patrick Thoral; Ari Ercole; Cheng Zhang 005; Danielle Belgrave; Mihaela van der Schaar (CoRR, 2020)

Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods. - James Jordon; Alan Wilson; Mihaela van der Schaar (CoRR, 2020)

Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. - Jeroen Berrevoets; Ahmed M. Alaa; Zhaozhi Qian; James Jordon; Alexander E. S. Gimson; Mihaela van der Schaar (ICML, 2021)

Synthetic Data - what, why and how? - James Jordon; Lukasz Szpruch; Florimond Houssiau; Mirko Bottarelli; Giovanni Cherubin; Carsten Maple; Samuel N. Cohen; Adrian Weller (CoRR, 2022)

TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data. - Florimond Houssiau; James Jordon; Samuel N. Cohen; Owen Daniel; Andrew Elliott; James Geddes; Callum D. Mole; Camila Rangel Smith; Lukasz Szpruch (CoRR, 2022)

To Impute or not to Impute? Missing Data in Treatment Effect Estimation. - Jeroen Berrevoets; Fergus Imrie; Trent Kyono; James Jordon; Mihaela van der Schaar (AISTATS, 2023)

Reinforcement Learning applied to Insurance Portfolio Pursuit. - Edward James Young; Alistair Rogers; Elliott Tong; James Jordon (CoRR, 2024)