Personal information

Optimization, Machine Learning
Vietnam

Activities

Employment (6)

IBM Research: Yorktown Heights, NY, US

2018-10-01 to present | Research Scientist (Thomas J. Watson Research Center)
Employment
Source: Self-asserted source
Lam Nguyen

IBM Research: Yorktown Heights, NY, US

2017-06-05 to 2018-08-25 | Research Intern (Thomas J. Watson Research Center)
Employment
Source: Self-asserted source
Lam Nguyen

Lehigh University: Bethlehem, PA, US

2014-09-01 to 2017-05-31 | Research Assistant (Industrial and Systems Engineering)
Employment
Source: Self-asserted source
Lam Nguyen

Lehigh University: Bethlehem, PA, US

2014-09-01 to 2015-05-31 | Teaching Assistant (Industrial and Systems Engineering)
Employment
Source: Self-asserted source
Lam Nguyen

McNeese State University: Lake Charles, LA, US

2011-12-12 to 2013-12-14 | Research Assistant (MBA Department)
Employment
Source: Self-asserted source
Lam Nguyen

FPT Corporation: Ho Chi Minh City, VN

2008-09-01 to 2009-09-01 | Software Engineer (FPT Software)
Employment
Source: Self-asserted source
Lam Nguyen

Education and qualifications (3)

Lehigh University: Bethlehem, PA, US

2014-08-25 to 2018-08-26 | Ph.D. in Industrial Engineering (Industrial and Systems Engineering)
Education
Source: Self-asserted source
Lam Nguyen

McNeese State University: Lake Charles, LA, US

2011-08-22 to 2013-12-14 | Master of Business Administration (MBA Department)
Education
Source: Self-asserted source
Lam Nguyen

Lomonosov Moscow State University: Moscow, RU

2004-09-01 to 2008-06-30 | B.S. in Applied Mathematics and Computer Science (Computational Mathematics and Cybernetics)
Education
Source: Self-asserted source
Lam Nguyen

Works (21)

Besting the Black-Box: Barrier Zones for Adversarial Example Defense

IEEE Access
2022 | Journal article
Contributors: Kaleel Mahmood; Phuong Ha Nguyen; Lam M. Nguyen; Thanh Nguyen; Marten Van Dijk
Source: check_circle
Crossref

AI-Based Real-Time Site-Wide Optimization for Process Manufacturing

INFORMS Journal on Applied Analytics
2022-07 | Journal article
Contributors: Jayant Kalagnanam; Dzung T. Phan; Pavankumar Murali; Lam M. Nguyen; Nianjun Zhou; Dharmashankar Subramanian; Raju Pavuluri; Xiang Ma; Crystal Lui; Giovane Cesar da Silva
Source: check_circle
Crossref

Finite-sum smooth optimization with SARAH

Computational Optimization and Applications
2022-07 | Journal article
Contributors: Lam M. Nguyen; Marten van Dijk; Dzung T. Phan; Phuong Ha Nguyen; Tsui-Wei Weng; Jayant R. Kalagnanam
Source: check_circle
Crossref

A hybrid stochastic optimization framework for composite nonconvex optimization

Mathematical Programming
2022-02 | Journal article
Contributors: Quoc Tran-Dinh; Nhan H. Pham; Dzung T. Phan; Lam M. Nguyen
Source: check_circle
Crossref

Inexact SARAH algorithm for stochastic optimization

Optimization Methods and Software
2021-01-02 | Journal article
Contributors: Lam M. Nguyen; Katya Scheinberg; Martin Takáč
Source: check_circle
Crossref

New Convergence Aspects of Stochastic Gradient Algorithms

The Journal of Machine Learning Research
2019-12-01 | Preprint
Source: Self-asserted source
Lam Nguyen

Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD

The 33th Annual Conference on Neural Information Processing Systems (NeurIPS 2019)
2019-09-05 | Preprint
Source: Self-asserted source
Lam Nguyen

A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization

2019-07-08 | Preprint
Source: Self-asserted source
Lam Nguyen

PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach

Proceedings of the 36th International Conference on Machine Learning, PMLR 97, 2019
2019-06-06 | Preprint
Source: Self-asserted source
Lam Nguyen

Hybrid Stochastic Gradient Descent Algorithms for Stochastic Nonconvex Optimization

2019-05-15 | Preprint
Source: Self-asserted source
Lam Nguyen

ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization

2019-02-15 | Preprint
Source: Self-asserted source
Lam Nguyen

Finite-Sum Smooth Optimization with SARAH

2019-01-22 | Preprint
Source: Self-asserted source
Lam Nguyen

Inexact SARAH Algorithm for Stochastic Optimization

2018-11-25 | Preprint
Source: Self-asserted source
Lam Nguyen

Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD

Proceedings of the 36th International Conference on Machine Learning, PMLR 97, 2019
2018-10-09 | Preprint
Source: Self-asserted source
Lam Nguyen

SGD and Hogwild! Convergence Without the Bounded Gradients Assumption

Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3747-3755, 2018
2018-02-11 | Preprint
Source: Self-asserted source
Lam Nguyen

When Does Stochastic Gradient Algorithm Work Well?

2018-01-18 | Preprint
Source: Self-asserted source
Lam Nguyen

Stochastic Recursive Gradient Algorithm for Nonconvex Optimization

2017-05-20 | Preprint
Source: Self-asserted source
Lam Nguyen

SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient

Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2613-2621, 2017
2017-03-01 | Preprint
Source: Self-asserted source
Lam Nguyen

A queueing system with on-demand servers: local stability of fluid limits

arXiv preprint arXiv:1609.02611
2016 | Journal article
Source: Self-asserted source
Lam Nguyen

A service system with randomly behaving on-demand agents

ACM SIGMETRICS Performance Evaluation Review
2016 | Journal article
Source: Self-asserted source
Lam Nguyen

CEO Compensation: Does Financial Crisis Matter?

International Business Research
2014 | Journal article
Source: Self-asserted source
Lam Nguyen