Proving Strong Duality for Geometric Optimization Using a Conic Formulation. - François Glineur (Ann. Oper. Res., 2001)

Improving complexity of structured convex optimization problems using self-concordant barriers. - François Glineur (Eur. J. Oper. Res., 2002)

An interior-point method for the single-facility location problem with mixed norms using a conic formulation. - Robert Chares; François Glineur (Math. Methods Oper. Res., 2008)

Document Classification using Nonnegative Matrix Factorization and Underapproximation. - Michael W. Berry; Nicolas Gillis; François Glineur (ISCAS, 2009)

ACUTA: A novel method for eliciting additive value functions on the basis of holistic preference statements. - Géraldine Bous; Philippe Fortemps; François Glineur; Marc Pirlot (Eur. J. Oper. Res., 2010)

Using underapproximations for sparse nonnegative matrix factorization. - Nicolas Gillis; François Glineur (Pattern Recognit., 2010)

Low-Rank Matrix Approximation with Weights or Missing Data Is NP-Hard. - Nicolas Gillis; François Glineur (SIAM J. Matrix Anal. Appl., 2011)

A novel class of iterative approximation methods for DSL spectrum optimization. - Paschalis Tsiaflakis; François Glineur (ICC, 2012)

A multilevel approach for nonnegative matrix factorization. - Nicolas Gillis; François Glineur (J. Comput. Appl. Math., 2012)

Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization. - Nicolas Gillis; François Glineur (Neural Comput., 2012)

Double Smoothing Technique for Large-Scale Linearly Constrained Convex Optimization. - Olivier Devolder; François Glineur; Yurii E. Nesterov (SIAM J. Optim., 2012)

A nuclear-norm based convex formulation for informed source separation. - Augustin Lefèvre; François Glineur; Pierre-Antoine Absil (ESANN, 2013)

ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering. - Filippo Pompili; Nicolas Gillis; François Glineur; Pierre-Antoine Absil (ESANN, 2013)

Spectrum optimization in multi-user multi-carrier systems with iterative convex and nonconvex approximation methods. - Paschalis Tsiaflakis; François Glineur (CoRR, 2013)

Weighted Sum Rate Maximization for Downlink OFDMA With Subcarrier-Pair Based Opportunistic DF Relaying. - Tao Wang 002; François Glineur; Jérôme Louveaux; Luc Vandendorpe (IEEE Trans. Signal Process., 2013)

A convex formulation for informed source separation in the single channel setting. - Augustin Lefèvre; François Glineur; Pierre-Antoine Absil (Neurocomputing, 2014)

Two algorithms for orthogonal nonnegative matrix factorization with application to clustering. - Filippo Pompili; Nicolas Gillis; Pierre-Antoine Absil; François Glineur (Neurocomputing, 2014)

A continuous characterization of the maximum-edge biclique problem. - Nicolas Gillis; François Glineur (J. Glob. Optim., 2014)

First-order methods of smooth convex optimization with inexact oracle. - Olivier Devolder; François Glineur; Yurii E. Nesterov (Math. Program., 2014)

Iterative Convex Approximation Based Real-Time Dynamic Spectrum Management in Multi-User Multi-Carrier Communication Systems. - Paschalis Tsiaflakis; François Glineur; Marc Moonen (IEEE Signal Process. Lett., 2014)

Real-Time Dynamic Spectrum Management for Multi-User Multi-Carrier Communication Systems. - Paschalis Tsiaflakis; François Glineur; Marc Moonen (IEEE Trans. Commun., 2014)

On the Linear Extension Complexity of Regular n-gons. - Arnaud Vandaele; Nicolas Gillis; François Glineur (CoRR, 2015)

On decentralized control of small loads and energy rebound within primary frequency control. - Arnaud Latiers; François Glineur; Emmanuel De Jaeger; Benoit Martin (PSCC, 2016)

Extended Lanczos bidiagonalization algorithm for low rank approximation and its applications. - Xuansheng Wang; François Glineur; Linzhang Lu; Paul Van Dooren (J. Comput. Appl. Math., 2016)

Heuristics for exact nonnegative matrix factorization. - Arnaud Vandaele; Nicolas Gillis; François Glineur; Daniel Tuyttens (J. Glob. Optim., 2016)

Performance estimation toolbox (PESTO): Automated worst-case analysis of first-order optimization methods. - Adrien B. Taylor; Julien M. Hendrickx; François Glineur (CDC, 2017)

Random Block Coordinate Descent Methods for Linearly Constrained Optimization over Networks. - Ion Necoara; Yurii E. Nesterov; François Glineur (J. Optim. Theory Appl., 2017)

Smooth strongly convex interpolation and exact worst-case performance of first-order methods. - Adrien B. Taylor; Julien M. Hendrickx; François Glineur (Math. Program., 2017)

On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions. - Etienne de Klerk; François Glineur; Adrien B. Taylor (Optim. Lett., 2017)

Exact Worst-Case Performance of First-Order Methods for Composite Convex Optimization. - Adrien B. Taylor; Julien M. Hendrickx; François Glineur (SIAM J. Optim., 2017)

Algorithms for positive semidefinite factorization. - Arnaud Vandaele; François Glineur; Nicolas Gillis (Comput. Optim. Appl., 2018)

Exact Worst-Case Convergence Rates of the Proximal Gradient Method for Composite Convex Minimization. - Adrien B. Taylor; Julien M. Hendrickx; François Glineur (J. Optim. Theory Appl., 2018)

Predictive Maintenance of a Rotating Condenser Inside a Synchrocyclotron. - Valentin Hamaide; François Glineur (BNAIC/BENELEARN, 2019)

Nonnegative matrix factorization with polynomial signals via hierarchical alternating least squares. - Cécile Hautecoeur; François Glineur (ESANN, 2019)

Accelerating Nonnegative Matrix Factorization Over Polynomial Signals With Faster Projections. - Cécile Hautecoeur; François Glineur (MLSP, 2019)

Linear convergence of first order methods for non-strongly convex optimization. - Ion Necoara; Yurii E. Nesterov; François Glineur (Math. Program., 2019)

Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming. - Ion Necoara; Andrei Patrascu; François Glineur (Optim. Methods Softw., 2019)

Lower bounds on the nonnegative rank using a nested polytopes formulation. - Julien Dewez; François Glineur (ESANN, 2020)

Image completion via nonnegative matrix factorization using B-splines. - Cécile Hautecoeur; François Glineur (ESANN, 2020)

Alternating minimization algorithms for graph regularized tensor completion. - Yu Guan; Shuyu Dong; Pierre-Antoine Absil; François Glineur (CoRR, 2020)

Nonnegative Matrix Factorization over Continuous Signals using Parametrizable Functions. - Cécile Hautecoeur; François Glineur (Neurocomputing, 2020)

Worst-Case Convergence Analysis of Inexact Gradient and Newton Methods Through Semidefinite Programming Performance Estimation. - Etienne de Klerk; François Glineur; Adrien B. Taylor (SIAM J. Optim., 2020)

Transfer learning in Bayesian optimization for the calibration of a beam line in proton therapy. - Valentin Hamaide; François Glineur (ESANN, 2021)

Hierarchical alternating nonlinear least squares for nonnegative matrix factorization using rational functions. - Cécile Hautecoeur; François Glineur; Lieven De Lathauwer (EUSIPCO, 2021)

A geometric lower bound on the extension complexity of polytopes based on the f-vector. - Julien Dewez; Nicolas Gillis; François Glineur (Discret. Appl. Math., 2021)

A two-level machine learning framework for predictive maintenance: comparison of learning formulations. - Valentin Hamaide; Denis Joassin; Lauriane Castin; François Glineur (CoRR, 2022)

Validation of a photogrammetric approach for the study of ancient bowed instruments. - Philémon Beghin; Anne-Emmanuelle Ceulemans; Paul Fisette; François Glineur (CoRR, 2022)

New Riemannian Preconditioned Algorithms for Tensor Completion via Polyadic Decomposition. - Shuyu Dong; Bin Gao 007; Yu Guan; François Glineur (SIAM J. Matrix Anal. Appl., 2022)

Can random proximal coordinate descent be accelerated on nonseparable convex composite minimization problems? - Flávia Chorobura; François Glineur; Ion Necoara (ECC, 2023)

On the Worst-Case Analysis of Cyclic Coordinate-Wise Algorithms on Smooth Convex Functions. - Yassine Kamri; Julien M. Hendrickx; François Glineur (ECC, 2023)

Snacks: a fast large-scale kernel SVM solver. - Sofiane Tanji; Andrea Della Vecchia; François Glineur; Silvia Villa (ECC, 2023)

Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions. - Cécile Hautecoeur; Lieven De Lathauwer; Nicolas Gillis; François Glineur (IEEE Trans. Signal Process., 2023)

Conic optimization-based algorithms for nonnegative matrix factorization. - Valentin Leplat; Yurii E. Nesterov; Nicolas Gillis; François Glineur (Optim. Methods Softw., 2023)

Convergence analysis of an inexact gradient method on smooth convex functions. - Pierre Vernimmen; François Glineur (ESANN, 2024)

Comparison of Proximal First-Order Primal and Primal-Dual Algorithms via Performance Estimation. - Nizar Bousselmi; Nelly Pustelnik; Julien M. Hendrickx; François Glineur (EUSIPCO, 2024)

A discussion about violin reduction: geometric analysis of contour lines and channel of minima. - Philémon Beghin; Anne-Emmanuelle Ceulemans; François Glineur (CoRR, 2024)

On the Set of Possible Minimizers of a Sum of Convex Functions. - Moslem Zamani; François Glineur; Julien M. Hendrickx (IEEE Control. Syst. Lett., 2024)

Optimal inexactness schedules for tunable oracle-based methods. - Guillaume Van Dessel; François Glineur (Optim. Methods Softw., 2024)

Interpolation Conditions for Linear Operators and Applications to Performance Estimation Problems. - Nizar Bousselmi; Julien M. Hendrickx; François Glineur (SIAM J. Optim., 2024)

PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. - Baptiste Goujaud; Céline Moucer; François Glineur; Julien M. Hendrickx; Adrien B. Taylor; Aymeric Dieuleveut (Math. Program. Comput., 2024)

Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent. - Teodor Rotaru; Panagiotis Patrinos; François Glineur (AISTATS, 2025)

Proximal gradient methods with inexact oracle of degree q for composite optimization. - Yassine Nabou; François Glineur; Ion Necoara (Optim. Lett., 2025)

Dual first-order methods for efficient computation of convex hull prices. - Sofiane Tanji; Yassine Kamri; François Glineur; Mehdi Madani (CoRR, 2025)

Tight Convergence Rates in Gradient Mapping for the Difference-of-Convex Algorithm. - Teodor Rotaru; Panagiotis Patrinos; François Glineur (CoRR, 2025)

Empirical and computer-aided robustness analysis of long-step and accelerated methods in smooth convex optimization. - Pierre Vernimmen; François Glineur (CoRR, 2025)

Identification of Violin Reduction via Contour Lines Classification. - Philémon Beghin; Anne-Emmanuelle Ceulemans; François Glineur (CoRR, 2025)