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François Glineur
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2020 – today
- 2024
- [j35]Moslem Zamani, François Glineur, Julien M. Hendrickx:
On the Set of Possible Minimizers of a Sum of Convex Functions. IEEE Control. Syst. Lett. 8: 1871-1876 (2024) - [j34]Baptiste Goujaud, Céline Moucer, François Glineur, Julien M. Hendrickx, Adrien B. Taylor, Aymeric Dieuleveut:
PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. Math. Program. Comput. 16(3): 337-367 (2024) - [j33]Nizar Bousselmi, Julien M. Hendrickx, François Glineur:
Interpolation Conditions for Linear Operators and Applications to Performance Estimation Problems. SIAM J. Optim. 34(3): 3033-3063 (2024) - [c17]Nizar Bousselmi, Nelly Pustelnik, Julien M. Hendrickx, François Glineur:
Comparison of Proximal First-Order Primal and Primal-Dual Algorithms via Performance Estimation. EUSIPCO 2024: 2647-2651 - [i18]Philémon Beghin, Anne-Emmanuelle Ceulemans, François Glineur:
A discussion about violin reduction: geometric analysis of contour lines and channel of minima. CoRR abs/2404.01995 (2024) - 2023
- [j32]Valentin Leplat, Yurii E. Nesterov, Nicolas Gillis, François Glineur:
Conic optimization-based algorithms for nonnegative matrix factorization. Optim. Methods Softw. 38(4): 837-859 (2023) - [j31]Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur:
Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions. IEEE Trans. Signal Process. 71: 1712-1724 (2023) - [c16]Flávia Chorobura, François Glineur, Ion Necoara:
Can random proximal coordinate descent be accelerated on nonseparable convex composite minimization problems? ECC 2023: 1-6 - [c15]Yassine Kamri, Julien M. Hendrickx, François Glineur:
On the Worst-Case Analysis of Cyclic Coordinate-Wise Algorithms on Smooth Convex Functions. ECC 2023: 1-8 - [c14]Sofiane Tanji, Andrea Della Vecchia, François Glineur, Silvia Villa:
Snacks: a fast large-scale kernel SVM solver. ECC 2023: 1-6 - [i17]Sofiane Tanji, Andrea Della Vecchia, François Glineur, Silvia Villa:
Snacks: a fast large-scale kernel SVM solver. CoRR abs/2304.07983 (2023) - 2022
- [j30]Shuyu Dong, Bin Gao, Yu Guan, François Glineur:
New Riemannian Preconditioned Algorithms for Tensor Completion via Polyadic Decomposition. SIAM J. Matrix Anal. Appl. 43(2): 840-866 (2022) - [i16]Baptiste Goujaud, Céline Moucer, François Glineur, Julien M. Hendrickx, Adrien B. Taylor, Aymeric Dieuleveut:
PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. CoRR abs/2201.04040 (2022) - [i15]Valentin Hamaide, Denis Joassin, Lauriane Castin, François Glineur:
A two-level machine learning framework for predictive maintenance: comparison of learning formulations. CoRR abs/2204.10083 (2022) - [i14]Philémon Beghin, Anne-Emmanuelle Ceulemans, Paul Fisette, François Glineur:
Validation of a photogrammetric approach for the study of ancient bowed instruments. CoRR abs/2205.08745 (2022) - [i13]Cécile Hautecoeur, Lieven De Lathauwer, Nicolas Gillis, François Glineur:
Least-squares methods for nonnegative matrix factorization over rational functions. CoRR abs/2209.12579 (2022) - 2021
- [j29]Julien Dewez, Nicolas Gillis, François Glineur:
A geometric lower bound on the extension complexity of polytopes based on the f-vector. Discret. Appl. Math. 303: 22-38 (2021) - [c13]Valentin Hamaide, François Glineur:
Transfer learning in Bayesian optimization for the calibration of a beam line in proton therapy. ESANN 2021 - [c12]Cécile Hautecoeur, François Glineur, Lieven De Lathauwer:
Hierarchical alternating nonlinear least squares for nonnegative matrix factorization using rational functions. EUSIPCO 2021: 1045-1049 - [i12]Shuyu Dong, Bin Gao, Yu Guan, François Glineur:
New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition. CoRR abs/2101.11108 (2021) - 2020
- [j28]Cécile Hautecoeur, François Glineur:
Nonnegative Matrix Factorization over Continuous Signals using Parametrizable Functions. Neurocomputing 416: 256-265 (2020) - [j27]Etienne de Klerk, François Glineur, Adrien B. Taylor:
Worst-Case Convergence Analysis of Inexact Gradient and Newton Methods Through Semidefinite Programming Performance Estimation. SIAM J. Optim. 30(3): 2053-2082 (2020) - [c11]Cécile Hautecoeur, François Glineur:
Image completion via nonnegative matrix factorization using B-splines. ESANN 2020: 73-78 - [c10]Julien Dewez, François Glineur:
Lower bounds on the nonnegative rank using a nested polytopes formulation. ESANN 2020: 91-96 - [i11]Yu Guan, Shuyu Dong, Pierre-Antoine Absil, François Glineur:
Alternating minimization algorithms for graph regularized tensor completion. CoRR abs/2008.12876 (2020)
2010 – 2019
- 2019
- [j26]Ion Necoara, Yurii E. Nesterov, François Glineur:
Linear convergence of first order methods for non-strongly convex optimization. Math. Program. 175(1-2): 69-107 (2019) - [j25]Ion Necoara, Andrei Patrascu, François Glineur:
Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming. Optim. Methods Softw. 34(2): 305-335 (2019) - [c9]Valentin Hamaide, François Glineur:
Predictive Maintenance of a Rotating Condenser Inside a Synchrocyclotron. BNAIC/BENELEARN 2019 - [c8]Cécile Hautecoeur, François Glineur:
Nonnegative matrix factorization with polynomial signals via hierarchical alternating least squares. ESANN 2019 - [c7]Cécile Hautecoeur, François Glineur:
Accelerating Nonnegative Matrix Factorization Over Polynomial Signals With Faster Projections. MLSP 2019: 1-6 - 2018
- [j24]Arnaud Vandaele, François Glineur, Nicolas Gillis:
Algorithms for positive semidefinite factorization. Comput. Optim. Appl. 71(1): 193-219 (2018) - [j23]Adrien B. Taylor, Julien M. Hendrickx, François Glineur:
Exact Worst-Case Convergence Rates of the Proximal Gradient Method for Composite Convex Minimization. J. Optim. Theory Appl. 178(2): 455-476 (2018) - 2017
- [j22]Ion Necoara, Yurii E. Nesterov, François Glineur:
Random Block Coordinate Descent Methods for Linearly Constrained Optimization over Networks. J. Optim. Theory Appl. 173(1): 227-254 (2017) - [j21]Adrien B. Taylor, Julien M. Hendrickx, François Glineur:
Smooth strongly convex interpolation and exact worst-case performance of first-order methods. Math. Program. 161(1-2): 307-345 (2017) - [j20]Etienne de Klerk, François Glineur, Adrien B. Taylor:
On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions. Optim. Lett. 11(7): 1185-1199 (2017) - [j19]Adrien B. Taylor, Julien M. Hendrickx, François Glineur:
Exact Worst-Case Performance of First-Order Methods for Composite Convex Optimization. SIAM J. Optim. 27(3): 1283-1313 (2017) - [c6]Adrien B. Taylor, Julien M. Hendrickx, François Glineur:
Performance estimation toolbox (PESTO): Automated worst-case analysis of first-order optimization methods. CDC 2017: 1278-1283 - [i10]Arnaud Vandaele, François Glineur, Nicolas Gillis:
Algorithms for Positive Semidefinite Factorization. CoRR abs/1707.07953 (2017) - 2016
- [j18]Xuansheng Wang, François Glineur, Linzhang Lu, Paul Van Dooren:
Extended Lanczos bidiagonalization algorithm for low rank approximation and its applications. J. Comput. Appl. Math. 301: 213-229 (2016) - [j17]Arnaud Vandaele, Nicolas Gillis, François Glineur, Daniel Tuyttens:
Heuristics for exact nonnegative matrix factorization. J. Glob. Optim. 65(2): 369-400 (2016) - [c5]Arnaud Latiers, François Glineur, Emmanuel De Jaeger, Benoit Martin:
On decentralized control of small loads and energy rebound within primary frequency control. PSCC 2016: 1-7 - 2015
- [i9]Arnaud Vandaele, Nicolas Gillis, François Glineur:
On the Linear Extension Complexity of Regular n-gons. CoRR abs/1505.08031 (2015) - 2014
- [j16]Filippo Pompili, Nicolas Gillis, Pierre-Antoine Absil, François Glineur:
Two algorithms for orthogonal nonnegative matrix factorization with application to clustering. Neurocomputing 141: 15-25 (2014) - [j15]Augustin Lefèvre, François Glineur, Pierre-Antoine Absil:
A convex formulation for informed source separation in the single channel setting. Neurocomputing 141: 26-36 (2014) - [j14]Nicolas Gillis, François Glineur:
A continuous characterization of the maximum-edge biclique problem. J. Glob. Optim. 58(3): 439-464 (2014) - [j13]Olivier Devolder, François Glineur, Yurii E. Nesterov:
First-order methods of smooth convex optimization with inexact oracle. Math. Program. 146(1-2): 37-75 (2014) - [j12]Paschalis Tsiaflakis, François Glineur, Marc Moonen:
Iterative Convex Approximation Based Real-Time Dynamic Spectrum Management in Multi-User Multi-Carrier Communication Systems. IEEE Signal Process. Lett. 21(5): 535-539 (2014) - [j11]Paschalis Tsiaflakis, François Glineur, Marc Moonen:
Real-Time Dynamic Spectrum Management for Multi-User Multi-Carrier Communication Systems. IEEE Trans. Commun. 62(3): 1124-1137 (2014) - [i8]Arnaud Vandaele, Nicolas Gillis, François Glineur, Daniel Tuyttens:
Heuristics for Exact Nonnegative Matrix Factorization. CoRR abs/1411.7245 (2014) - 2013
- [j10]Tao Wang, François Glineur, Jérôme Louveaux, Luc Vandendorpe:
Weighted Sum Rate Maximization for Downlink OFDMA With Subcarrier-Pair Based Opportunistic DF Relaying. IEEE Trans. Signal Process. 61(10): 2512-2524 (2013) - [c4]Augustin Lefèvre, François Glineur, Pierre-Antoine Absil:
A nuclear-norm based convex formulation for informed source separation. ESANN 2013 - [c3]Filippo Pompili, Nicolas Gillis, François Glineur, Pierre-Antoine Absil:
ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering. ESANN 2013 - [i7]Tao Wang, François Glineur, Jérôme Louveaux, Luc Vandendorpe:
Weighted Sum Rate Maximization for Downlink OFDMA with Subcarrier-pair based Opportunistic DF Relaying. CoRR abs/1301.6600 (2013) - [i6]Paschalis Tsiaflakis, François Glineur, Marc Moonen:
Real-time dynamic spectrum management for multi-user multi-carrier communication systems. CoRR abs/1308.5786 (2013) - [i5]Paschalis Tsiaflakis, François Glineur:
Spectrum optimization in multi-user multi-carrier systems with iterative convex and nonconvex approximation methods. CoRR abs/1308.5809 (2013) - 2012
- [j9]Nicolas Gillis, François Glineur:
A multilevel approach for nonnegative matrix factorization. J. Comput. Appl. Math. 236(7): 1708-1723 (2012) - [j8]Nicolas Gillis, François Glineur:
Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization. Neural Comput. 24(4): 1085-1105 (2012) - [j7]Olivier Devolder, François Glineur, Yurii E. Nesterov:
Double Smoothing Technique for Large-Scale Linearly Constrained Convex Optimization. SIAM J. Optim. 22(2): 702-727 (2012) - [c2]Paschalis Tsiaflakis, François Glineur:
A novel class of iterative approximation methods for DSL spectrum optimization. ICC 2012: 3154-3159 - [i4]Filippo Pompili, Nicolas Gillis, Pierre-Antoine Absil, François Glineur:
Two Algorithms for Orthogonal Nonnegative Matrix Factorization with Application to Clustering. CoRR abs/1201.0901 (2012) - [i3]Augustin Lefèvre, François Glineur, Pierre-Antoine Absil:
A nuclear-norm based convex formulation for informed source separation. CoRR abs/1212.3119 (2012) - 2011
- [j6]Nicolas Gillis, François Glineur:
Low-Rank Matrix Approximation with Weights or Missing Data Is NP-Hard. SIAM J. Matrix Anal. Appl. 32(4): 1149-1165 (2011) - [i2]Nicolas Gillis, François Glineur:
Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization. CoRR abs/1107.5194 (2011) - 2010
- [j5]Géraldine Bous, Philippe Fortemps, François Glineur, Marc Pirlot:
ACUTA: A novel method for eliciting additive value functions on the basis of holistic preference statements. Eur. J. Oper. Res. 206(2): 435-444 (2010) - [j4]Nicolas Gillis, François Glineur:
Using underapproximations for sparse nonnegative matrix factorization. Pattern Recognit. 43(4): 1676-1687 (2010) - [i1]Nicolas Gillis, François Glineur:
A Multilevel Approach For Nonnegative Matrix Factorization. CoRR abs/1009.0881 (2010)
2000 – 2009
- 2009
- [c1]Michael W. Berry, Nicolas Gillis, François Glineur:
Document Classification using Nonnegative Matrix Factorization and Underapproximation. ISCAS 2009: 2782-2785 - 2008
- [j3]Robert Chares, François Glineur:
An interior-point method for the single-facility location problem with mixed norms using a conic formulation. Math. Methods Oper. Res. 68(3): 383-405 (2008) - 2002
- [j2]François Glineur:
Improving complexity of structured convex optimization problems using self-concordant barriers. Eur. J. Oper. Res. 143(2): 291-310 (2002) - 2001
- [j1]François Glineur:
Proving Strong Duality for Geometric Optimization Using a Conic Formulation. Ann. Oper. Res. 105(1-4): 155-184 (2001)
Coauthor Index
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last updated on 2024-11-07 21:28 CET by the dblp team
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