Stebėti
François Glineur
François Glineur
Professor, Université catholique de Louvain (UCLouvain) - ICTEAM / INMA & CORE - EPL
Patvirtintas el. paštas uclouvain.be - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
First-order methods of smooth convex optimization with inexact oracle
O Devolder, F Glineur, Y Nesterov
Mathematical Programming 146, 37-75, 2014
6422014
Linear convergence of first order methods for non-strongly convex optimization
I Necoara, Y Nesterov, F Glineur
Mathematical Programming 175, 69-107, 2019
4282019
Accelerated multiplicative updates and hierarchical ALS algorithms for nonnegative matrix factorization
N Gillis, F Glineur
Neural computation 24 (4), 1085-1105, 2012
2942012
Smooth strongly convex interpolation and exact worst-case performance of first-order methods
AB Taylor, JM Hendrickx, F Glineur
Mathematical Programming 161, 307-345, 2017
2762017
Two algorithms for orthogonal nonnegative matrix factorization with application to clustering
F Pompili, N Gillis, PA Absil, F Glineur
Neurocomputing 141, 15-25, 2014
1962014
Low-rank matrix approximation with weights or missing data is NP-hard
N Gillis, F Glineur
SIAM Journal on Matrix Analysis and Applications 32 (4), 1149-1165, 2011
1872011
Exact worst-case performance of first-order methods for composite convex optimization
AB Taylor, JM Hendrickx, F Glineur
SIAM Journal on Optimization 27 (3), 1283-1313, 2017
1622017
Using underapproximations for sparse nonnegative matrix factorization
N Gillis, F Glineur
Pattern recognition 43 (4), 1676-1687, 2010
149*2010
Random block coordinate descent methods for linearly constrained optimization over networks
I Necoara, Y Nesterov, F Glineur
Journal of Optimization Theory and Applications 173, 227-254, 2017
126*2017
ACUTA: A novel method for eliciting additive value functions on the basis of holistic preference statements
G Bous, P Fortemps, F Glineur, M Pirlot
European Journal of Operational Research 206 (2), 435-444, 2010
1152010
Exact worst-case convergence rates of the proximal gradient method for composite convex minimization
AB Taylor, JM Hendrickx, F Glineur
Journal of Optimization Theory and Applications 178, 455-476, 2018
1052018
On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions
E De Klerk, F Glineur, AB Taylor
Optimization Letters 11, 1185-1199, 2017
1042017
Double smoothing technique for large-scale linearly constrained convex optimization
O Devolder, F Glineur, Y Nesterov
SIAM Journal on Optimization 22 (2), 702-727, 2012
97*2012
On the geometric interpretation of the nonnegative rank
N Gillis, F Glineur
Linear Algebra and its Applications 437 (11), 2685-2712, 2012
952012
First-order methods with inexact oracle: the strongly convex case
O Devolder, F Glineur, Y Nesterov
CORE Discussion Papers 2013016, 47, 2013
912013
Nonnegative factorization and the maximum edge biclique problem
N Gillis, F Glineur
Arxiv preprint arXiv:0810.4225, 2008
842008
Performance estimation toolbox (PESTO): Automated worst-case analysis of first-order optimization methods
AB Taylor, JM Hendrickx, F Glineur
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1278-1283, 2017
782017
Computational experiments with a linear approximation of second-order cone optimization
F Glineur
592000
Worst-case convergence analysis of inexact gradient and Newton methods through semidefinite programming performance estimation
E De Klerk, F Glineur, AB Taylor
SIAM Journal on Optimization 30 (3), 2053-2082, 2020
572020
Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming
I Necoara, A Patrascu, F Glineur
Optimization Methods and Software 34 (2), 305-335, 2019
562019
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Straipsniai 1–20