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Invited talk #5: Mihaela van der Schaar
Mihaela van der Schaar
Author Information
Mihaela van der Schaar (University of Cambridge)
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2022 : Closing Remarks »
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2022 : Opening Remarks »
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2020 : Q&A for invited speaker, Mihaela van der Schaar »
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2020 : Interpretable AutoML: Powering the machine learning revolution in healthcare in the era of Covid-19 and beyond »
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2019 Poster: Attentive State-Space Modeling of Disease Progression »
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2019 Poster: Demystifying Black-box Models with Symbolic Metamodels »
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2019 Poster: Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate »
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2019 Poster: Conditional Independence Testing using Generative Adversarial Networks »
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2019 Spotlight: Conditional Independence Testing using Generative Adversarial Networks »
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2018 Poster: Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks »
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2017 : Coffee break and Poster Session II »
Mohamed Kane · Albert Haque · Vagelis Papalexakis · John Guibas · Peter Li · Carlos Arias · Eric Nalisnick · Padhraic Smyth · Frank Rudzicz · Xia Zhu · Theodore Willke · Noemie Elhadad · Hans Raffauf · Harini Suresh · Paroma Varma · Yisong Yue · Ognjen (Oggi) Rudovic · Luca Foschini · Syed Rameel Ahmad · Hasham ul Haq · Valerio Maggio · Giuseppe Jurman · Sonali Parbhoo · Pouya Bashivan · Jyoti Islam · Mirco Musolesi · Chris Wu · Alexander Ratner · Jared Dunnmon · Cristóbal Esteban · Aram Galstyan · Greg Ver Steeg · Hrant Khachatrian · Marc Górriz · Mihaela van der Schaar · Anton Nemchenko · Manasi Patwardhan · Tanay Tandon -
2017 Poster: DPSCREEN: Dynamic Personalized Screening »
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2017 Poster: Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks »
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2017 Spotlight: Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks »
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2017 Poster: Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes »
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