News
2023-02-06
My collegues and I will be organizing a tutorial/lab forum “LSHA2: Automated AI for Decision Optimization with Reinforcement Learning” at AAAI 2023.
I will also be the Session Chair of ML: Optimization 1 at AAAI 2023 on Feb 10, 2023.
2022-09-28
The patent “A systematic approach for evaluating robustness of cooperative multi-agent reinforcement learning” has been filed on Sept 28, 2022. This is a joint work with Lam M. Nguyen, Jie Chen, Thanh-Lam Hoang, Subhro Das.
2021-12-28
From Jan 4th, I will be a Research Scientist at the IBM Thomas J. Watson Research Center in Yorktown Heights. Super excited for this new adventure!
2021-09-30
Our manuscript FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization. have been accepted at the 35th Conference on Neural Information Processing Systems. This is a joint work with Lam Nguyen, Dzung Phan (IBM Research) and Quoc Tran-Dinh (UNC Chapel Hill). [Preprint]
2021-08-08
I have completed my summer internship as a machine learning intern with Blue River Technology Inc. where I had a chance to work on interesting problems of applying machine learning for agriculture. I greatly appreciate all my colleges especially my mentors Chris Patwick and Ben Cline for their help during my internship.
2021-06-8
Together with Lam Nguyen, Dzung Phan (IBM Research) and Quoc Tran-Dinh (UNC Chapel Hill), we have completed the manuscript FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization. [Preprint]
2021-03-15
I will be a Machine Learning Intern at Blue River Technology Inc.. this summer. I am excited to help create smart products for agriculture.
2021-03-12
Together with Lam Nguyen, Dzung Phan (IBM Research) and Quoc Tran-Dinh (UNC Chapel Hill), we have completed the manuscript Federated Learning with Randomized Douglas-Rachford Splitting Methods. [Preprint]
2021-01-24
Our paper Regression Optimization for System-level Production Control - joint work with Dzung Phan (IBM Research), Lam Nguyen (IBM Research), Pavankumar Murali (IBM Research), Hongsheng Liu (UNC Chapel Hill), and Jayant Kalagnanam (IBM Research)- has been accepted to the 2021 American Control Conference (ACC). [Full paper]
2020-10-12
Our paper A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization - a joint work with Quoc Tran-Dinh (UNC Chapel Hill), Lam Nguyen and Dzung Phan (IBM Research) - has been accepted for publication at Mathematical Programming. [Full paper]
2020-08-14
I have completed my summer internship with IBM Research, Thomas J. Watson Research Center. It is indeed a fantastic experience. I greatly appreciate all my colleges especially my mentors (Dzung T. Phan and Lam M. Nguyen) and my supervisor (Roman Vaculin).
2020-06-01
Our paper Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization - a joint work with Lam Nguyen (IBM Research) and Quoc Tran-Dinh (UNC Chapel Hill)- has been accepted for publication at the International Conference on Machine Learning (ICML). [Full paper]
2020-05-03
Our paper ProxSARAH: An Efficient Algorithmic Framework For Stochastic Composite Nonconvex Optimization - a joint work with Lam Nguyen (IBM Research), Dzung Phan (IBM Research), and Quoc Tran-Dinh (UNC Chapel Hill) - has been accepted for publication at the Journal of Machine Learning Research (JMLR). [Full paper]
2020-02-09
Together with Lam Nguyen (IBM Research) and Quoc Tran-Dinh (UNC Chapel Hill), we have completed the manuscript Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization. [Preprint]
Another manuscript is out “Convergence Rates of Accelerated Markov Gradient Descent with Applications in Reinforcement Learning”, joint work with Thinh Doan (GA Tech), Lam Nguyen (IBM Research), Justin Romberg (GA Tech). [Preprint]
2020-01-23
Our manuscript ProxSARAH: An Efficient Algorithmic Framework For Stochastic Composite Nonconvex Optimization has been accepted for publication at Journal of Machine Learning Research (JMLR) with minor revision. [Preprint]
2020-01-07
Our paper A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning has been accepted for AISTATS 2020. This is a joint work with Lam Nguyen (IBM Research), Dzung Phan (IBM Research), Phuong-Ha Nguyen (UConn), Marten van Dijk (UConn), and Quoc Tran-Dinh (UNC Chapel Hill). [Full paper]
2019-10-19
This year I will travel to Seattle for the 2019 INFORMS Annual Meeting to present ProxSARAH: An Efficient Algorithmic Framework For Stochastic Composite Nonconvex Optimization, a joint work with Lam Nguyen (IBM Research), Dzung Phan (IBM Research), and Quoc Tran-Dinh (UNC Chapel Hill).
2019-08-15
I will be working with Quoc Tran-Dinh as a SAMSI (The Statistical and Applied Mathematical Sciences Institute) Research Fellow for the 2019 Fall Program on Deep Learning.
2019-07-08
Together with Lam Nguyen (IBM Research), Dzung Phan (IBM Research), and Quoc Tran-Dinh (UNC Chapel Hill), we have completed the manuscript A Hybrid Stochastic Optimization Framework for Composite Nonconvex Optimization. Checkout my research page for more details.
2019-02-15
Together with Lam Nguyen (IBM Research), Dzung Phan (IBM Research), and Quoc Tran-Dinh (UNC Chapel Hill), we have completed the manuscript ProxSARAH: An Efficient Algorithmic Framework For Stochastic Composite Nonconvex Optimization. Checkout my research page for more details.