40 citations
- Laboratoire Traitement et Communication de l’InformationFR14 papers
- KU LeuvenBE13 papers
- Institut Polytechnique de ParisFR7 papers
- Laboratoire Traitement du Signal et de l'ImageFR4 papers
- Télécom ParisFR4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Laboratoire d’Informatique et SystèmesFR3 papers
- Centre BorelliFR2 papers
- IBM (France)FR2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Kyoto UniversityJP2 papers
- Laboratoire des signaux et systèmesFR2 papers
7 papers · 1 filter
Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems
Binqi Sun, Zhihang Wei, Andrea Bastoni +5
Memory bandwidth regulation and cache partitioning are widely used techniques for achieving predictable timing in real-time computing systems. Combined with partitioned scheduling,…
Solving stochastic weak Minty variational inequalities without increasing batch size
Thomas Pethick, Olivier Fercoq, Puya Latafat +2
This paper introduces a family of stochastic extragradient-type algorithms for a class of nonconvex-nonconcave problems characterized by the weak Minty variational inequality (MVI)…
Linear convergence of dual coordinate descent on non-polyhedral convex problems
Ion Necoara, Olivier Fercoq
This paper deals with constrained convex problems, where the objective function is smooth strongly convex and the feasible set is given as the intersection of a large number of clo…
Almost surely constrained convex optimization
Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara +1
We propose a stochastic gradient framework for solving stochastic composite convex optimization problems with (possibly) infinite number of linear inclusion constraints that need t…
A Conditional Gradient-Based Augmented Lagrangian Framework
Alp Yurtsever, Olivier Fercoq, Volkan Cevher
This paper considers a generic convex minimization template with affine constraints over a compact domain, which covers key semidefinite programming applications. The existing cond…
Smoothing technique for nonsmooth composite minimization with linear operator
Quang Van Nguyen, Olivier Fercoq, Volkan Cevher
We introduce and analyze an algorithm for the minimization of convex functions that are the sum of differentiable terms and proximable terms composed with linear operators. The met…