| A dual decomposition algorithm for separable nonconvex optimization using the penalty framework Q Tran-Dinh, I Necoara, M Diehl Proceedings of the 52nd Conference on Decision and Control, 2013 | 27* | 2013 |
| A hybrid stochastic optimization framework for composite nonconvex optimization Q Tran-Dinh, NH Pham, DT Phan, LM Nguyen Mathematical Programming, 1-67, 2021 | 107* | 2021 |
| A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning NH Pham, LM Nguyen, DT Phan, PH Nguyen, M van Dijk, Q Tran-Dinh (AISTATS) Proceedings of the 23rdInternational Conference on Artificial …, 2020 | 25 | 2020 |
| A Lyapunov function for the combined system-optimizer dynamics in inexact model predictive control A Zanelli, Q Tran-Dinh, M Diehl Automatica 134, 109901, 2021 | 25 | 2021 |
| A new homotopy proximal variable-metric framework for composite convex minimization Q Tran-Dinh, L Ling, KC Toh Mathematics of Operations Research, 2018 | 4* | 2018 |
| A new randomized primal-dual algorithm for convex optimization with fast last iterate convergence rates Q Tran-Dinh, D Liu Optimization Methods and Software 38 (1), 184-217, 2023 | 3 | 2023 |
| A new randomized primal-dual algorithm for convex optimization with optimal last iterate rates Q Tran-Dinh, D Liu arXiv preprint arXiv:2003.01322, 2020 | 4* | 2020 |
| A new splitting method for solving composite monotone inclusions involving parallel-sum operators Q Tran-Dinh, BC Vu Preprint 1505, 2015 | 6 | 2015 |
| A Newton Frank–Wolfe method for constrained self-concordant minimization D Liu, V Cevher, Q Tran-Dinh Journal of Global Optimization, 1-27, 2022 | 14 | 2022 |
| A Penalty Method Based on a Gauss-Newton Scheme for AC-OPF I Mezghani, A Papavasiliou, Q Tran-Dinh, I Necoara | | 2021 |
| A primal-dual algorithmic framework for constrained convex minimization Q Tran-Dinh, V Cevher arXiv preprint arXiv:1406.5403, 2014 | 45 | 2014 |
| A primal-dual framework for mixtures of regularizers B Gozcü, L Baldassarre, Q Tran-Dinh, C Aprile, V Cevher 2015 23rd European Signal Processing Conference (EUSIPCO), 240-244, 2015 | | 2015 |
| A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions Q Tran-Dinh, A Kyrillidis, V Cevher International Conference on Machine Learning, 271-279, 2013 | 36 | 2013 |
| A single-phase, proximal path-following framework Q Tran-Dinh, A Kyrillidis, V Cevher Mathematics of Operations Research 43 (4), 1326-1347, 2018 | 7 | 2018 |
| 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 | 101 | 2015 |
| A splitting proximal point method for Nash-Cournot equilibrium models involving nonconvex cost functions Q Tran-Dinh, M Le Dung Journal of Nonlinear and Convex Analysis, 2011 | 5* | 2011 |
| A unified convergence analysis for shuffling-type gradient methods LM Nguyen, Q Tran-Dinh, DT Phan, PH Nguyen, M Van Dijk Journal of Machine Learning Research 22 (207), 1-44, 2021 | 71 | 2021 |
| A unified convergence rate analysis of the accelerated smoothed gap reduction algorithm Q Tran-Dinh Optimization Letters 16 (4), 1235-1257, 2022 | 2 | 2022 |
| A universal primal-dual convex optimization framework A Yurtsever, Q Tran-Dinh, V Cevher Advances in Neural Information Processing Systems 28, 2015 | 69 | 2015 |
| Accelerated randomized block-coordinate algorithms for co-coercive equations and applications Q Tran-Dinh preprint (STOR-07-22, UNC-Chapel Hill, 2022 | 5 | 2022 |
Moritz DiehlProfessor of Systems, Control and Optimization at the University of Freiburg在 imtek.uni-freiburg.de 的电子邮件经过验证
