41 citations · 107 across the 13 of their papers we have counts for
14 papers
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…
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…
Linear optimization over homogeneous matrix cones
Levent Tunçel, Lieven Vandenberghe
A convex cone is homogeneous if its automorphism group acts transitively on the interior of the cone, i.e., for every pair of points in the interior of the cone, there exists a con…
Bregman three-operator splitting methods
Xin Jiang, Lieven Vandenberghe
The paper presents primal-dual proximal splitting methods for convex optimization, in which generalized Bregman distances are used to define the primal and dual proximal update ste…
Capacities and Optimal Input Distributions for Particle-Intensity Channels
Nariman Farsad, Will Chuang, Andrea Goldsmith +6
This work introduces the particle-intensity channel (PIC) as a model for molecular communication systems and characterizes the capacity limits as well as properties of the optimal…
Regularized Diffusion Adaptation via Conjugate Smoothing
Stefan Vlaski, Lieven Vandenberghe, Ali H. Sayed
The purpose of this work is to develop and study a distributed strategy for Pareto optimization of an aggregate cost consisting of regularized risks. Each risk is modeled as the ex…