News

2020-01-24

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).

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.

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) for their help and it is my honor to be working with them during the summer.

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).

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).

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”. 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).

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.

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 and source code will be available soon.

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.