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20212026
most citedImproved algorithms and novel applications of the FrankWolfe.jl library

2 citations · 4 across the 13 of their papers we have counts for

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10 papers · 1 filter

math.OC2026

Facial distance and diameter

Antoine Deza, David Martínez-Rubio, Javier Peña +1

The facial distance of a polytope, equivalently its pyramidal width, is a geometric condition measure that appears in the convergence bounds for Frank--Wolfe algorithms. Peña and W…

math.OC2026

Calculus of the Facial Distance

Javier Pena, Elias Wirth

We develop a few calculus rules to compute or lower bound the facial distance of a polytope. We illustrate our calculus rules on various popular polytopes. In particular, we provid…

math.OC2025

Adaptive Open-Loop Step-Sizes for Accelerated Convergence Rates of the Frank-Wolfe Algorithm

Elias Wirth, Javier Peña, Sebastian Pokutta

Recent work has shown that in certain settings, the Frank-Wolfe algorithm (FW) with open-loop step-sizes for a fixed parameter $\ell \in \mathbb{N},\, \…

math.OC2025

Linear Convergence of the Frank-Wolfe Algorithm over Product Polytopes

Gabriele Iommazzo, David Martínez-Rubio, Francisco Criado +2

We study the linear convergence of Frank-Wolfe algorithms over product polytopes. We analyze two condition numbers for the product polytope, namely the \emph{pyramidal width} and t…

math.OC2025★ 2 cited

Improved algorithms and novel applications of the FrankWolfe.jl library

Mathieu Besançon, Sébastien Designolle, Jannis Halbey +6

Frank-Wolfe (FW) algorithms have emerged as an essential class of methods for constrained optimization, especially on large-scale problems. In this paper, we summarize the algorith…

math.OC2024

The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control

Elias Wirth, Mathieu Besançon, Sebastian Pokutta

We propose the pivoting meta algorithm (PM) to enhance optimization algorithms that generate iterates as convex combinations of vertices of a feasible region $C\subseteq \mathbb{R}…

math.OC2024

Fast convergence of Frank-Wolfe algorithms on polytopes

Elias Wirth, Javier Pena, Sebastian Pokutta

We provide a template to derive convergence rates for the following popular versions of the Frank-Wolfe algorithm on polytopes: vanilla Frank-Wolfe, Frank-Wolfe with away steps, Fr…

math.OC2023

Accelerated Affine-Invariant Convergence Rates of the Frank-Wolfe Algorithm with Open-Loop Step-Sizes

Elias Wirth, Javier Pena, Sebastian Pokutta

Recent papers have shown that the Frank-Wolfe algorithm (FW) with open-loop step-sizes exhibits rates of convergence faster than the iconic rate. In particula…

math.OC2023★ 1 cited

Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond

David Martínez-Rubio, Elias Wirth, Sebastian Pokutta

It has recently been shown that ISTA, an unaccelerated optimization method, presents sparse updates for the -regularized personalized PageRank problem, leading to cheap ite…

math.OC2022

Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes

Elias Wirth, Thomas Kerdreux, Sebastian Pokutta

Frank-Wolfe algorithms (FW) are popular first-order methods for solving constrained convex optimization problems that rely on a linear minimization oracle instead of potentially ex…