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Mihaela van der Schaar

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Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification

Jun 14, 2020
Hyun-Suk Lee, Yao Zhang, William Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar

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Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints

Jun 09, 2020
Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar

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When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes

Jun 03, 2020
Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar

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When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes

May 13, 2020
Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar

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A Non-Stationary Bandit-Learning Approach to Energy-Efficient Femto-Caching with Rateless-Coded Transmission

Apr 13, 2020
Setareh Maghsudi, Mihaela van der Schaar

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Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks

Feb 27, 2020
Ioana Bica, James Jordon, Mihaela van der Schaar

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Contextual Constrained Learning for Dose-Finding Clinical Trials

Feb 24, 2020
Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar

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Learning Overlapping Representations for the Estimation of Individualized Treatment Effects

Feb 17, 2020
Yao Zhang, Alexis Bellot, Mihaela van der Schaar

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Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning

Feb 14, 2020
Yao Zhang, Daniel Jarrett, Mihaela van der Schaar

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Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations

Feb 10, 2020
Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar

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