2 papers
math.OC2026
New complexity bounds for primal--dual interior-point algorithms in conic optimization
Joachim Dahl, Levent Tunçel, Lieven Vandenberghe
We provide improved complexity results for symmetric primal--dual interior-point algorithms in conic optimization. The results follow from new uniform bounds on a key complexity me…
cs.LG2026
Noninvasive Intracranial Pressure Estimation Using Subspace System Identification and Bespoke Machine Learning Algorithms: A Learning-to-Rank Approach
Anni Zhao, Ayca Ermis, Jeffrey Robert Vitt +10
Accurate noninvasive estimation of intracranial pressure (ICP) remains a major challenge in critical care. We developed a bespoke machine learning algorithm that integrates system…