Miscellaneous


Principal Investigator

Students

Collaborators

Publications

  • J. Yoon, J. Jordon, M. van der Schaar, "RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks," Submitted, 2018. [Link]

  • J. Yoon, M. van der Schaar, "E-RNN: Entangled Recurrent Neural Networks for Causal Prediction," ICML 2017 - Workshop on Principled Approaches to Deep Learning., 2017. [Link]

  • C. Tekin, J. Yoon, and M. van der Schaar, "Adaptive Ensemble Learning with Confidence Bounds," accepted and to appear in IEEE Trans. Signal Process., 2016. [Link]

  • E. Soltanmohammadi, M. Naraghi-Pour, and M. van der Schaar, " Context-based Unsupervised Ensemble Learning and Feature Ranking," accepted and to appear in Machine Learning, pp. 1-27, June 2016. [Link]

  • C. Tekin, J. Yoon, M. van der Schaar, "Adaptive ensemble learning with confidence bounds for personalized diagnosis," accepted and to appear in AAAI Workshop on Expanding the Boundaries of Health Informatics using AI (HIAI'16):Making Proactive, Personalized, and Participatory Medicine A Reality, 2016. [Link]

  • E. Soltanmohammadi, M. Naraghi-Pour, M. van der Schaar, "Context-based Unsupervised Data Fusion for Decision Making," ICML, 2015. [Link]

  • O. Atan, C. Tekin, J. Xu and M. van der Schaar, "Discovering Action-Dependent Relevance: Learning from Logged Data," Submitted, 2015. [Link]

  • J. Xu, D. Sow, D. Turaga and M. van der Schaar, "Online Transfer Learning for Differential Diagnosis Determination," AAAI Workshop on the World Wide Web and Public Health Intelligence, 2015. [Link]

  • C. Tekin and M. van der Schaar, "Active Learning in Context-Driven Stream Mining with an Application to Image Mining," IEEE Trans. Image Process., vol. 24, no. 11, pp. 3666-3679, 2015. [Link]

  • O. Atan and M. van der Schaar, "Discover Relevant Sources : A Multi-Armed Bandit Approach," Submitted, 2015. [Link]

  • J. Xu, J. Y. Xu, L. Song, G. Pottie, and M. van der Schaar, "Personalized Active Learning for Activity Classification using Wireless Wearable Sensors," IEEE Journal on Selected Topics in Signal Processing, 2016. [Link]