Skip to main content
King Abdullah University of Science and Technology
Integrated Intelligent Systems Lab
I2S
Integrated Intelligent Systems Lab
  • Home
  • People
    • All People
    • Principal Investigator
    • Research Scientists
    • Research Staff
    • Postdoctoral Fellows
    • Students
  • I2S Projects
  • Collaborators
  • Resources and Downloads
  • Join I2S

Automated and scalable algorithms

Efficient Numerical Methods for Scalable Bayesian Inference

Lisa Gaedke-Merzhäuser, Postdoctoral Research Fellow, Statistics
Apr 16, 12:00 - 13:00

B9 R2325

numerical methods Efficient Bayesian Inversion Automated and scalable algorithms

This talk will introduce and discuss the computational building blocks of Integrated Nested Laplace Approximations (INLA) and how these are implemented in software libraries such as R-INLA or DALIA.

Automated and Scalable Algorithms and Systems for Unsupervised ML

Yue Zhao, Computer Engineering, Carnegie Mellon University

Apr 9, 12:00 - 13:00

B9 L2 H2

Automated and scalable algorithms

Many real-world events do not have outcome labels. For example, the fraudulence of a transaction remains unknown until it is discovered.

Integrated Intelligent Systems Lab (I2S)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice