6 papers
A Unified Model for High-Resolution ODEs: New Insights on Accelerated Methods
Hoomaan Maskan, Konstantinos C. Zygalakis, Armin Eftekhari +1
Recent work on high-resolution ordinary differential equations (HR-ODEs) captures fine nuances among different momentum-based optimization methods, leading to accurate theoretical…
Revisiting Frank-Wolfe for Structured Nonconvex Optimization
Hoomaan Maskan, Yikun Hou, Suvrit Sra +1
We introduce a new projection-free (Frank-Wolfe) method for optimizing structured nonconvex functions that are expressed as a difference of two convex functions. This problem class…
Randomized Block Coordinate DC Programming
Hoomaan Maskan, Paniz Halvachi, Suvrit Sra +1
We introduce an extension of the Difference of Convex Algorithm (DCA) in the form of a randomized block coordinate approach for problems with separable structure. For coordinat…
A Variational Perspective on High-Resolution ODEs
Hoomaan Maskan, Konstantinos C. Zygalakis, Alp Yurtsever
We consider unconstrained minimization of smooth convex functions. We propose a novel variational perspective using forced Euler-Lagrange equation that allows for studying high-res…
Super-resolution Method for Coherent DOA Estimation of Multiple Wideband Sources
Milad Javadzadeh Jirhandeh, Mohammad Hossein Kahaei
We focus on coherent direction of arrival estimation of wideband sources based on spatial sparsity. This area of research is encountered in many applications such as passive radar,…
Demixing Sines and Spikes Using Multiple Measurement Vectors
Hoomaan Maskan, Sajad Daei, Mohammad Hossein Kahaei
In this paper, we address the line spectral estimation problem with multiple measurement corrupted vectors. Such scenarios appear in many practical applications such as radar, opti…