Quoc Tran-Dinh
Quoc Tran-Dinh
Department of Statistics and Operations Research, UNC
確認したメール アドレス: email.unc.edu - ホームページ
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
Composite self-concordant minimization
Q Tran-Dinh, A Kyrillidis, V Cevher
The Journal of Machine Learning Research 16 (1), 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
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
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
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
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
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
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
A universal primal-dual convex optimization framework
A Yurtsever, QT Dinh, V Cevher
Advances in Neural Information Processing Systems, 3150-3158, 2015
A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization
Q Tran-Dinh, O Fercoq, V Cevher
arXiv preprint arXiv:1507.06243, 2015
A primal-dual algorithmic framework for constrained convex minimization
Q Tran-Dinh, V Cevher
arXiv preprint arXiv:1406.5403, 2014
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
Iterative methods for solving monotone equilibrium problems via dual gap functions
TD Quoc, LD Muu
Computational Optimization and Applications, 1-20, 2012
論文 1–20