Proven: Verifying robustness of neural networks with a probabilistic approachTsui Wei WengPin-Yu Chenet al.2019ICML 2019
Characterization of convex objective functions and optimal expected convergence rates for SGDMarten van DijkLam Nguyenet al.2019ICML 2019
SGD and Hogwild! Convergence without the bounded gradients assumptionLam NguyenPhuong Ha Nguyenet al.2018ICML 2018
Fast Convergence for Unstable Reinforcement Learning Problems by Logarithmic MappingWang ZhangLam Nguyenet al.2022ICML 2022
Guaranteeing Conservation Laws with Projection in Physics-Informed Neural NetworksAnthony BaezWang Zhanget al.2024NeurIPS 2024
Stochastic FISTA Step Search Algorithm for Convex OptimizationTrang H. TranLam Nguyenet al.2023NeurIPS 2023
c-MBA: Adversarial Attack for Cooperative MARL Using Learned Dynamics ModelNhan PhamLam Nguyenet al.2022NeurIPS 2022
Robust Randomized Smoothing via Two Cost-Effective ApproachesLinbo LiuTrong Nghia Hoanget al.2022ICLR 2022
Addressing Solution Quality in Data-generated Optimization ModelsOrit DavidovichParikshit Ramet al.2022AAAI 2022
New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data OwnershipNghia HoangLam Nguyenet al.2021NeurIPS 2021