Accelerated Variance-Reduced Forward-Reflected Methods for Root-Finding Problems Q Tran-Dinh arXiv preprint arXiv:2406.02413, 2024 | | 2024 |
Stochastic variance-reduced forward-reflected methods for root-finding problems Q Tran-Dinh arXiv preprint arXiv:2406.00937, 2024 | 1 | 2024 |
Extragradient-type methods with O 1/k last-iterate convergence rates for co-hypomonotone inclusions Q Tran-Dinh Journal of Global Optimization 89 (1), 197-221, 2024 | 9* | 2024 |
Data integration via analysis of subspaces (DIVAS) J Prothero, M Jiang, J Hannig, Q Tran-Dinh, A Ackerman, JS Marron TEST, 1-42, 2024 | 5 | 2024 |
Shuffling Momentum Gradient Algorithm for Convex Optimization TH Tran, Q Tran-Dinh, LM Nguyen arXiv preprint arXiv:2403.03180, 2024 | | 2024 |
From Halpern’s fixed-point iterations to Nesterov’s accelerated interpretations for root-finding problems Q Tran-Dinh Computational Optimization and Applications 87 (1), 181-218, 2024 | 26* | 2024 |
Sublinear convergence rates of extragradient-type methods: A survey on classical and recent developments Q Tran-Dinh arXiv preprint arXiv:2303.17192, 2023 | 9 | 2023 |
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 |
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems Q Tran-Dinh, Y Luo | 10 | 2023 |
Gradient Descent-Type Methods–Background and Simple Unified Convergence Analysis Q Tran-Dinh, M van Dijk | 1 | 2022 |
Accelerated randomized block-coordinate algorithms for co-coercive equations and applications Q Tran-Dinh preprint (STOR-07-22, UNC-Chapel Hill, 2022 | 5 | 2022 |
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 unified convergence rate analysis of the accelerated smoothed gap reduction algorithm Q Tran-Dinh Optimization Letters 16 (4), 1235-1257, 2022 | 2 | 2022 |
Extragradient-Type Methods for Co-Monotone Root-Finding Problems Y Luo, Q Tran-Dinh | 6* | 2022 |
New primal-dual algorithms for a class of nonsmooth and nonlinear convex-concave minimax problems Y Zhu, D Liu, Q Tran-Dinh SIAM Journal on Optimization 32 (4), 2580-2611, 2022 | 8* | 2022 |
Improved complexity of trust-region optimization for zeroth-order stochastic oracles with adaptive sampling Y Ha, S Shashaani, Q Tran-Dinh 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 5 | 2021 |
FedDR–Randomized Douglas-Rachford splitting algorithms for nonconvex federated composite optimization Q Tran-Dinh, NH Pham, D Phan, L Nguyen Advances in Neural Information Processing Systems 34, 30326-30338, 2021 | 35 | 2021 |
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 |
Halpern-type accelerated and splitting algorithms for monotone inclusions Q Tran-Dinh, Y Luo arXiv preprint arXiv:2110.08150, 2021 | 32 | 2021 |
Minimization of a class of rare event probabilities and buffered probabilities of exceedance A Budhiraja, S Lu, Y Yu, Q Tran-Dinh Annals of Operations Research 302 (1), 49-83, 2021 | 3 | 2021 |