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Evaluating Robustness of Cooperative MARL: A Model-based Approach



Nhan H. Pham , Lam M. Nguyen , Jie Chen , Hoang Thanh Lam , Subhro Das , Tsui-Wei Weng


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Federated Learning with Randomized Douglas-Rachford Splitting Methods



Nhan H. Pham , Lam M. Nguyen , Dzung T. Phan , Quoc Tran-Dinh


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Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness



Thinh T. Doan , Lam M. Nguyen , Nhan H. Pham , Justin Romberg


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A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning



Nhan H. Pham , Lam M. Nguyen , Dzung T. Phan , Phuong Ha Nguyen , Marten van Dijk , Quoc Tran-Dinh

* Accepted for publication at the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020) 

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Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization



Quoc Tran-Dinh , Nhan H. Pham , Lam M. Nguyen

* 32 pages and 5 figures 

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A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization



Quoc Tran-Dinh , Nhan H. Pham , Dzung T. Phan , Lam M. Nguyen

* 51 pages, 1 table, 16 figures 

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Hybrid Stochastic Gradient Descent Algorithms for Stochastic Nonconvex Optimization



Quoc Tran-Dinh , Nhan H. Pham , Dzung T. Phan , Lam M. Nguyen

* 41 pages and 18 figures 

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ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization



Nhan H. Pham , Lam M. Nguyen , Dzung T. Phan , Quoc Tran-Dinh

* 45 pages, 8 figures, and 2 table 

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