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James Jordon

TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

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Nov 12, 2022
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Synthetic Data -- what, why and how?

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May 06, 2022
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To Impute or not to Impute? -- Missing Data in Treatment Effect Estimation

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Feb 04, 2022
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Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods

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Dec 08, 2020
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Hide-and-Seek Privacy Challenge

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Jul 24, 2020
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Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks

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Feb 27, 2020
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Contextual Constrained Learning for Dose-Finding Clinical Trials

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Feb 24, 2020
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Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations

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Feb 10, 2020
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ASAC: Active Sensing using Actor-Critic models

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Jun 16, 2019
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Lifelong Bayesian Optimization

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May 29, 2019
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