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20192022
most citedA unifying framework for the analysis of projection-free first-order methods under a sufficient slope condition

5 citations · 5 across the 4 of their papers we have counts for

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math.OC2022

Retraction based Direct Search Methods for Derivative Free Riemannian Optimization

Vyacheslav Kungurtsev, Francesco Rinaldi, Damiano Zeffiro

Direct search methods represent a robust and reliable class of algorithms for solving black-box optimization problems. In this paper, we explore the application of those strategies…

math.OC2021

Frank-Wolfe and friends: a journey into projection-free first-order optimization methods

Immanuel. M. Bomze, Francesco Rinaldi, Damiano Zeffiro

Invented some 65 years ago in a seminal paper by Marguerite Straus-Frank and Philip Wolfe, the Frank-Wolfe method recently enjoys a remarkable revival, fuelled by the need of fast…

math.OC2021

Fast cluster detection in networks by first-order optimization

Immanuel M. Bomze, Francesco Rinaldi, Damiano Zeffiro

Cluster detection plays a fundamental role in the analysis of data. In this paper, we focus on the use of s-defective clique models for network-based cluster detection and propose…

math.OC20205 cited

A unifying framework for the analysis of projection-free first-order methods under a sufficient slope condition

Francesco Rinaldi, Damiano Zeffiro

The analysis of projection-free first order methods is often complicated by the presence of different kinds of "good" and "bad" steps. In this article, we propose a unifying framew…

math.OC2019

Active set complexity of the Away-step Frank-Wolfe Algorithm

Immanuel M. Bomze, Francesco Rinaldi, Damiano Zeffiro

In this paper, we study active set identification results for the away-step Frank-Wolfe algorithm in different settings. We first prove a local identification property that we appl…