Quoc Tran-Dinh
Quoc Tran-Dinh
Department of Statistics and Operations Research, UNC
Verified email at email.unc.edu - Homepage
Cited by
Cited by
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
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
Composite self-concordant minimization.
Q Tran-Dinh, A Kyrillidis, V Cevher
J. Mach. Learn. Res. 16 (1), 371-416, 2015
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
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization.
NH Pham, LM Nguyen, DT Phan, Q Tran-Dinh
J. Mach. Learn. Res. 21, 110:1-110:48, 2020
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
A universal primal-dual convex optimization framework
A Yurtsever, Q Tran-Dinh, V Cevher
arXiv preprint arXiv:1502.03123, 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
Sequential convex programming methods for solving nonlinear optimization problems with DC constraints
TD Quoc, M Diehl
arXiv preprint arXiv:1107.5841, 2011
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
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
Generalized self-concordant functions: a recipe for Newton-type methods
T Sun, Q Tran-Dinh
Mathematical Programming 178 (1), 145-213, 2019
A primal-dual algorithmic framework for constrained convex minimization
Q Tran-Dinh, V Cevher
arXiv preprint arXiv:1406.5403, 2014
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