| Extragradient algorithms extended to equilibrium problems¶ DQ Tran, M Le Dung, Van Hien Nguyen Optimization 57 (6), 749-776, 2008 | 354 | 2008 |
| Learning with tensors: a framework based on convex optimization and spectral regularization M Signoretto, Q Tran Dinh, L De Lathauwer, JAK Suykens Machine Learning 94 (3), 303-351, 2014 | 233 | 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 | 200 | 2011 |
| WASP: Scalable Bayes via barycenters of subset posteriors S Srivastava, V Cevher, Q Dinh, D Dunson Artificial Intelligence and Statistics, 912-920, 2015 | 148 | 2015 |
| Dual extragradient algorithms extended to equilibrium problems TD Quoc, PN Anh, LD Muu Journal of Global Optimization 52 (1), 139-159, 2012 | 125 | 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 | 120 | 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 | 97 | 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 | 92 | 2014 |
| Composite self-concordant minimization. Q Tran-Dinh, A Kyrillidis, V Cevher J. Mach. Learn. Res. 16 (1), 371-416, 2015 | 88 | 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), 1-48, 2020 | 78 | 2020 |
| 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 | 78 | 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 | 75 | 2015 |
| 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 | 60 | 2012 |
| A universal primal-dual convex optimization framework A Yurtsever, Q Tran Dinh, V Cevher Advances in Neural Information Processing Systems 28, 2015 | 58 | 2015 |
| A hybrid stochastic optimization framework for composite nonconvex optimization Q Tran-Dinh, NH Pham, DT Phan, LM Nguyen Mathematical Programming, 1-67, 2021 | 54* | 2021 |
| 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 | 54 | 2014 |
| Sequential convex programming methods for solving nonlinear optimization problems with DC constraints TD Quoc, M Diehl arXiv preprint arXiv:1107.5841, 2011 | 49 | 2011 |
| Generalized self-concordant functions: a recipe for Newton-type methods T Sun, Q Tran-Dinh Mathematical Programming 178 (1), 145-213, 2019 | 45 | 2019 |
| 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 | 43 | 2013 |
| A primal-dual algorithmic framework for constrained convex minimization Q Tran-Dinh, V Cevher arXiv preprint arXiv:1406.5403, 2014 | 40 | 2014 |
Moritz DiehlProfessor of Systems, Control and Optimization at the University of FreiburgVerified email at imtek.uni-freiburg.de
