3 papers
math.OC2024
Novel Optimization Techniques for Parameter Estimation
Chenyu Wu, Nuozhou Wang, Casey Garner +2
In this paper, we introduce a new optimization algorithm that is well suited for solving parameter estimation problems. We call our new method cubic regularized Newton with affine…
math.OC2022
Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness
Casey Garner, Gilad Lerman, Shuzhong Zhang
Matrix functions are utilized to rewrite smooth spectral constrained matrix optimization problems as smooth unconstrained problems over the set of symmetric matrices which are then…
math.OC2022
Classifying with Uncertain Data Envelopment Analysis
Casey Garner, Allen Holder
Classifications organize entities into categories that identify similarities within a category and discern dissimilarities among categories, and they powerfully classify informatio…