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20182026
most citedHigh-Resolution Modeling of the Fastest First-Order Optimization Method for Strongly Convex Functions

5 citations · 12 across the 19 of their papers we have counts for

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8 papers · 1 filter

math.OC2026

Submodular Welfare under Routing Coupling: A Hierarchical Decomposition with Perturbation Guarantees

Joan Vendrell Gallart, Nhat-Minh Tang-Nguyen, Alan Kuhnle +1

This paper studies joint submodular welfare maximization and routing over graphs, where agents select items under diminishing returns and transport them through a network with cong…

math.OC2025

FORWARD: A Feasible Radial Reconfiguration Algorithm for Multi-Source Distribution Networks

Joan Vendrell Gallart, Russell Bent, Solmaz Kia

This paper considers an optimal radial reconfiguration problem in multi-source distribution networks, where the goal is to find a radial configuration that minimizes quadratic dist…

math.OC2023

First-Order Dynamic Optimization for Streaming Convex Costs

M. Rostami, H. Moradian, S. S. Kia

This paper proposes a set of novel optimization algorithms for solving a class of convex optimization problems with time-varying streaming cost function. We develop an approach to…

math.OC2022

Fast model averaging via buffered states and first-order accelerated optimization algorithms

Amir-Salar Esteki, Hossein Moradian, Solmaz S. Kia

In this letter, we study the problem of accelerating reaching average consensus over connected graphs in a discrete-time communication setting. Literature has shown that consensus…

math.OC20212 cited

Distributed Strategy Selection: A Submodular Set Function Maximization Approach

Navid Rezazadeh, Solmaz S. Kia

Constrained submodular set function maximization problems often appear in multi-agent decision-making problems with a discrete feasible set. A prominent example is the problem of m…

math.OC2021

A Distributed Continuous-time Modified Newton-Raphson Algorithm

Hossein Moradian, Solmaz S. Kia

We propose a continuous-time second-order optimization algorithm for solving unconstrained convex optimization problems with bounded Hessian. We show that this alternative algorith…