Material Detail

The Kernel Beta Process

The Kernel Beta Process

This video was recorded at NIPS Workshops, Lake Tahoe 2012. For handling large-scale problems, methods like Gaussian processes can be computationally challenging. In this paper, we discuss how use of alternative kernel methods can be employed to accelerate computations, without loss of modeling power. We examine this in the context of general nonparametric Bayesian models, with specific applications within the Beta process. The theoretical and algorithmic issues are discussed, with demonstration via several examples.


  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material


Log in to participate in the discussions or sign up if you are not already a MERLOT member.