Please note: This half-hour seminar will take place in M3 4206 and online.
Robert Wang, PhD candidate
David R. Cheriton School of Computer Science
We consider a general p-norm objective for experimental design problems that captures some well-studied objectives (D/A/E-design) as special cases. We prove that a randomized local search approach provides a unified algorithm to solve this problem for all p. This provides the first approximation algorithm for the general p-norm objective, and a nice interpolation of the best known bounds of the special cases.
Based on joint work with Lap Chi Lau and Hong Zhou that has appeared in Random 2023.
To attend this seminar in person, please go to M3 4206. You can also attend virtually using Zoom at https://uwaterloo.zoom.us/j/93334236278.
This is the first of two back-to-back seminars.
200 University Avenue West
Waterloo, ON N2L 3G1