NIPS Proceedingsβ

Mihaela van der Schaar

11 Papers

  • Attentive State-Space Modeling of Disease Progression (2019)
  • Conditional Independence Testing using Generative Adversarial Networks (2019)
  • Demystifying Black-box Models with Symbolic Metamodels (2019)
  • Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate (2019)
  • Time-series Generative Adversarial Networks (2019)
  • Multitask Boosting for Survival Analysis with Competing Risks (2018)
  • Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes (2017)
  • DPSCREEN: Dynamic Personalized Screening (2017)
  • A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics (2016)
  • Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition (2016)
  • Discovering, Learning and Exploiting Relevance (2014)