Scheduled presentations:

• Lagrange Bases for Kernel-Based Multiscale Approximation
  L. Gollwitzer (University of Bayreuth), *R. Kempf (University of Bayreuth), H. Wendland (University of Bayreuth)
• Multiscale Kernel-Based Operator Learning
  *V. Shankar (University of Utah)
• Objective-Aware Pivoted Cholesky for Gaussian Processes
  *L. Schaub (University of Wuppertal), P. Zaspel (University of Wuppertal)
• Smoothed Analysis of Rank Growth in Kernel Matrices with Randomized Particle Distributions
  *S. SINGH (IIT Madras), S. AMBIKASARAN (IIT Madras)