Quoc Tran-Dinh
Quoc Tran-Dinh
Department of Statistics and Operations Research, UNC
Dirección de correo verificada de email.unc.edu - Página principal
Citado por
Citado por
Extragradient algorithms extended to equilibrium problems¶
DQ Tran, M Le Dung, Van Hien Nguyen
Optimization 57 (6), 749-776, 2008
Learning with tensors: a framework based on convex optimization and spectral regularization
M Signoretto, QT Dinh, L De Lathauwer, JAK Suykens
Machine Learning 94 (3), 303-351, 2014
Combining convex–concave decompositions and linearization approaches for solving BMIs, with application to static output feedback
QT Dinh, S Gumussoy, W Michiels, M Diehl
IEEE Transactions on Automatic Control 57 (6), 1377-1390, 2011
WASP: Scalable Bayes via barycenters of subset posteriors
S Srivastava, V Cevher, Q Dinh, D Dunson
Artificial Intelligence and Statistics, 912-920, 2015
Dual extragradient algorithms extended to equilibrium problems
TD Quoc, PN Anh, LD Muu
Journal of Global Optimization 52 (1), 139-159, 2012
Local convergence of sequential convex programming for nonconvex optimization
QT Dinh, M Diehl
Recent Advances in Optimization and its Applications in Engineering, 93-102, 2010
Regularization algorithms for solving monotone Ky Fan inequalities with application to a Nash-Cournot equilibrium model
LD Muu, TD Quoc
Journal of optimization theory and applications 142 (1), 185-204, 2009
Composite self-concordant minimization
Q Tran Dinh, A Kyrillidis, V Cevher
Journal of Machine Learning Research 16 (ARTICLE), 371-416, 2015
Computational complexity of inexact gradient augmented Lagrangian methods: application to constrained MPC
V Nedelcu, I Necoara, Q Tran-Dinh
SIAM Journal on Control and Optimization 52 (5), 3109-3134, 2014
Adjoint-based predictor-corrector sequential convex programming for parametric nonlinear optimization
QT Dinh, C Savorgnan, M Diehl
SIAM Journal on Optimization 22 (4), 1258-1284, 2012
Time-optimal path following for robots with convex–concave constraints using sequential convex programming
F Debrouwere, W Van Loock, G Pipeleers, QT Dinh, M Diehl, ...
IEEE Transactions on Robotics 29 (6), 1485-1495, 2013
A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization
Q Tran-Dinh, O Fercoq, V Cevher
SIAM Journal on Optimization, 28(1), 96–134 (2018), 2015
A universal primal-dual convex optimization framework
A Yurtsever, Q Tran Dinh, V Cevher
Advances in Neural Information Processing Systems 28, 3150-3158, 2015
Convexity in source separation: Models, geometry, and algorithms
MB McCoy, V Cevher, QT Dinh, A Asaei, L Baldassarre
IEEE Signal Processing Magazine 31 (3), 87-95, 2014
ProxSARAH: An efficient algorithmic framework for stochastic composite nonconvex optimization
NH Pham, LM Nguyen, DT Phan, Q Tran-Dinh
Journal of Machine Learning Research 21 (110), 1-48, 2020
An inexact perturbed path-following method for Lagrangian decomposition in large-scale separable convex optimization
QT Dinh, I Necoara, C Savorgnan, M Diehl
SIAM Journal on Optimization 23 (1), 95-125, 2013
Sequential convex programming methods for solving nonlinear optimization problems with DC constraints
TD Quoc, M Diehl
arXiv preprint arXiv:1107.5841, 2011
Combining Lagrangian decomposition and excessive gap smoothing technique for solving large-scale separable convex optimization problems
QT Dinh, C Savorgnan, M Diehl
Computational Optimization and Applications 55 (1), 75-111, 2013
Distributed nonlinear optimal control using sequential convex programming and smoothing techniques
I Necoara, C Savorgnan, DQ Tran, J Suykens, M Diehl
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control …, 2009
A primal-dual algorithmic framework for constrained convex minimization
Q Tran-Dinh, V Cevher
arXiv preprint arXiv:1406.5403, 2014
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20