Nhan H. Pham

According to our database, Nhan H. Pham authored at least 15 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Attacking c-MARL More Effectively: A Data Driven Approach.

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

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

A hybrid stochastic optimization framework for composite nonconvex optimization.

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

Math. Program., 2022

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

CoRR, 2022

2021

New stochastic and Randomized Algorithms for Nonconvex Optimization in Machine Learning.

Nhan H. Pham

PhD thesis, 2021

Federated Learning with Randomized Douglas-Rachford Splitting Methods.

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

CoRR, 2021

FedDR - Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Regression Optimization for System-level Production Control.

Dzung T. Phan, Lam M. Nguyen, Pavankumar Murali, Nhan H. Pham, Hongsheng Liu, Jayant R. Kalagnanam

Proceedings of the 2021 American Control Conference, 2021

2020

ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization.

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

J. Mach. Learn. Res., 2020

Finite-Time Analysis of Stochastic Gradient Descent under Markov Randomness.

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

CoRR, 2020

Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization.

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

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Automated robotic monitoring and inspection of steel structures and bridges.

Hung Manh La, Tran Hiep Dinh, Nhan H. Pham, Quang Phuc Ha, Anh Quyen Pham

Robotica, 2019

A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization.

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

CoRR, 2019

2017

Autonomous robotic system using non-destructive evaluation methods for bridge deck inspection.

Tuan Le, Spencer Gibb, Nhan H. Pham, Hung Manh La, Logan Falk, Tony Berendsen

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Design and implementation of an autonomous robot for steel bridge inspection.

Nhan H. Pham, Hung M. La

Proceedings of the 54th Annual Allerton Conference on Communication, 2016