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20082024
most citedAccelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization

216 citations · 1k across the 31 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

math.OC2017

Extended Formulations for Order Polytopes through Network Flows

Clintin P. Davis-Stober, Jean-Paul Doignon, Samuel Fiorini +2

Mathematical psychology has a long tradition of modeling probabilistic choice via distribution-free random utility models and associated random preference models. For such models,…

math.OC2017

Worst-case convergence analysis of inexact gradient and Newton methods through semidefinite programming performance estimation

Etienne de Klerk, Francois Glineur, Adrien Taylor

We provide new tools for worst-case performance analysis of the gradient (or steepest descent) method of Cauchy for smooth strongly convex functions, and Newton's method for self-c…

math.OC2017★ 14 cited

Algorithms for Positive Semidefinite Factorization

Arnaud Vandaele, François Glineur, Nicolas Gillis

This paper considers the problem of positive semidefinite factorization (PSD factorization), a generalization of exact nonnegative matrix factorization. Given an -by- nonnega…

math.OC2017★ 2 cited

Exact worst-case convergence rates of the proximal gradient method for composite convex minimization

Adrien B. Taylor, Julien M. Hendrickx, François Glineur

We study the worst-case convergence rates of the proximal gradient method for minimizing the sum of a smooth strongly convex function and a non-smooth convex function whose proxima…

math.OC2017

A robust convex optimization framework for autonomous network planning under load uncertainty

Benoît Martin, François Glineur, Emmanuel De Jaeger

Autonomous microgrid planning is a Mixed-Integer Non Convex decision problem that requires to consider investments in both distribution and generation capacity and represents signi…