3 papers
math.OC2026
Optimal Spectral Design with Prior Information
Anton J. Kleywegt, Johannes Milz, Mohit Singh +1
We study a class of spectral design problems in which a prior positive semidefinite information matrix is updated by a sum of rank-one matrices constructed from chosen design vecto…
cs.DS2024
Computing Experiment-Constrained D-Optimal Designs
Aditya Pillai, Gabriel Ponte, Marcia Fampa +3
In optimal experimental design, the objective is to select a limited set of experiments that maximizes information about unknown model parameters based on factor levels. This work…
cs.DS2023
An Improved Approximation Algorithm for the Max--Section Problem
Dor Katzelnick, Aditya Pillai, Roy Schwartz +1
We consider the Max--Section problem, where we are given an undirected graph equipped with non-negative edge weights and the goal is to…