Browsing by Author "Swersky, Kevin"

Now showing items 1-2 of 2

    • Multi-Task Bayesian Optimization 

      Swersky, Kevin; Snoek, Jasper; Adams, Ryan Prescott (Curran Associates, Inc., 2013)
      Bayesian optimization has recently been proposed as a framework for automatically tuning the hyperparameters of machine learning models and has been shown to yield state-of-the-art performance with impressive ease and ...

    • Taking the Human Out of the Loop: A Review of Bayesian Optimization 

      Shahriari, Bobak; Swersky, Kevin; Wang, Ziyu; Adams, Ryan Prescott; de Freitas, Nando (Institute of Electrical & Electronics Engineers (IEEE), 2016)
      Big Data applications are typically associated with systems involving large numbers of users, massive complex software systems, and large-scale heterogeneous computing and storage architectures. The construction of such ...