12 citations · 14 across the 4 of their papers we have counts for
6 papers
From Weakly Supervised Learning to Biquality Learning: an Introduction
Pierre Nodet, Vincent Lemaire, Alexis Bondu +2
The field of Weakly Supervised Learning (WSL) has recently seen a surge of popularity, with numerous papers addressing different types of "supervision deficiencies". In WSL use cas…
Fast proximal algorithms for nonsmooth convex optimization
Adam Ouorou
In the lines of our approach in \cite{Ouorou2019}, where we exploit Nesterov fast gradient concept \cite{Nesterov1983} to the Moreau-Yosida regularization of a convex function, we…
Proximal bundle algorithms for nonsmooth convex optimization via fast gradient smooth methods
Adam Ouorou
We propose new proximal bundle algorithms for minimizing a nonsmooth convex function. These algorithms are derived from the application of Nesterov fast gradient methods for smooth…
A Lagrange decomposition based Branch and Bound algorithm for the Optimal Mapping of Cloud Virtual Machines
Guanglei Wang, Walid Ben-Ameur, Adam Ouorou
One of the challenges of cloud computing is to optimally and efficiently assign virtual ma- chines to physical machines. The aim of telecommunication operators is to minimize the m…
Multipolar robust optimization
Walid Ben-Ameur, Adam Ouorou, Guanglei Wang +1
We consider linear programs involving uncertain parameters and propose a new tractable robust counterpart which contains and generalizes several other models including the existing…
Adjustably Robust Optimal Power Flows with Demand Uncertainty via Path-based Flows
Jakub Marecek, Adam Ouorou, Guanglei Wang
We study the optimal power flow problem with switching (or, equivalently, the line expansion problem) under demand uncertainty. Specifically, we consider the line-use variables at…