Lam M. Nguyen
Lam M. Nguyen
IBM Thomas J. Watson Research Center
Verified email at ibm.com - Homepage
TitleCited byYear
SARAH: A novel method for machine learning problems using stochastic recursive gradient
LM Nguyen, J Liu, K Scheinberg, M Takáč
The 34th International Conference on Machine Learning (ICML 2017), 2017
852017
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
LM Nguyen, PH Nguyen, M van Dijk, P Richtárik, K Scheinberg, M Takác
The 35th International Conference on Machine Learning (ICML 2018), 2018
312018
Stochastic recursive gradient algorithm for nonconvex optimization
LM Nguyen, J Liu, K Scheinberg, M Takáč
arXiv preprint arXiv:1705.07261, 2017
282017
CEO Compensation: Does Financial Crisis Matter?
P Vemala, L Nguyen, D Nguyen, A Kommasani
International Business Research 7 (4), 125-131, 2014
172014
ProxSARAH: An efficient algorithmic framework for stochastic composite nonconvex optimization
NH Pham, LM Nguyen, DT Phan, Q Tran-Dinh
arXiv preprint arXiv:1902.05679, 2019
82019
When does stochastic gradient algorithm work well?
LM Nguyen, NH Nguyen, DT Phan, JR Kalagnanam, K Scheinberg
arXiv preprint arXiv:1801.06159, 2018
82018
A service system with randomly behaving on-demand agents
LM Nguyen, AL Stolyar
SIGMETRICS 2016, ACM SIGMETRICS Performance Evaluation Review 44 (1), 365-366, 2016
82016
Finite-Sum Smooth Optimization with SARAH
LM Nguyen, M van Dijk, DT Phan, PH Nguyen, TW Weng, ...
arXiv preprint arXiv:1901.07648, 2019
7*2019
Inexact SARAH algorithm for stochastic optimization
LM Nguyen, K Scheinberg, M Takáč
arXiv preprint arXiv:1811.10105, 2018
72018
Hybrid Stochastic Gradient Descent Algorithms for Stochastic Nonconvex Optimization
Q Tran-Dinh, NH Pham, DT Phan, LM Nguyen
arXiv preprint arXiv:1905.05920, 2019
22019
New convergence aspects of stochastic gradient algorithms
LM Nguyen, PH Nguyen, P Richtárik, K Scheinberg, M Takáč, M van Dijk
arXiv preprint arXiv:1811.12403, 2018
22018
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD
M van Dijk, LM Nguyen, PH Nguyen, DT Phan
The 36th International Conference on Machine Learning (ICML 2019), 2019
12019
A queueing system with on-demand servers: local stability of fluid limits
L Nguyen, A Stolyar
Queueing Systems: Theory and Applications 89 (3-4), 243–268, 2017
12017
A Hybrid Stochastic Optimization Framework for Stochastic Composite Nonconvex Optimization
Q Tran-Dinh, NH Pham, DT Phan, LM Nguyen
arXiv preprint arXiv:1907.03793, 2019
2019
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach
TW Weng, PY Chen, LM Nguyen, MS Squillante, A Boopathy, I Oseledets, ...
The 36th International Conference on Machine Learning (ICML 2019), 2019
2019
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD
PH Nguyen, LM Nguyen, M van Dijk
2019
DTN: A Learning Rate Scheme with Convergence Rate of for SGD
LM Nguyen, PH Nguyen, DT Phan, JR Kalagnanam, M van Dijk
arXiv preprint arXiv:1901.07634, 2019
2019
ChieF: A Change Pattern based Interpretable Failure Analyzer
D Patel, LM Nguyen, A Rangamani, S Shrivastava, J Kalagnanam
2018 IEEE International Conference on Big Data (Big Data), 1978-1985, 2018
2018
Tight Dimension Independent Lower Bound on Optimal Expected Convergence Rate for Diminishing Step Sizes in SGD
PH Nguyen, LM Nguyen, M van Dijk
arXiv preprint arXiv:1810.04723, 2018
2018
A Service System with On-Demand Agents, Stochastic Gradient Algorithms and the SARAH Algorithm
L Nguyen
Lehigh University, 2018
2018
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