Besting the Black-Box: Barrier Zones for Adversarial Example DefenseKaleel MahmoodPhuong Ha Nguyenet al.2021IEEE AccessPaper
A unified convergence analysis for shuffling-type gradient methodsLam NguyenQuoc Tran-Dinhet al.2021JMLRPaper
Tight dimension independent lower bound on the expected convergence rate for diminishing step sizes in sgdPhuong Ha NguyenLam Nguyenet al.2019NeurIPS 2019Conference paper
New convergence aspects of stochastic gradient algorithmsLam NguyenPhuong Ha Nguyenet al.2019JMLRPaper
Characterization of convex objective functions and optimal expected convergence rates for SGDMarten van DijkLam Nguyenet al.2019ICML 2019Conference paper
SGD and Hogwild! Convergence without the bounded gradients assumptionLam NguyenPhuong Ha Nguyenet al.2018ICML 2018Conference paper