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Nhan H. Pham
Nhan H. Pham
IBM Research
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
ProxSARAH: An efficient algorithmic framework for stochastic composite nonconvex optimization
NH Pham, LM Nguyen, DT Phan, Q Tran-Dinh
Journal of Machine Learning Research 21 (110), 1-48, 2020
1382020
Automated robotic monitoring and inspection of steel structures and bridges
HM La, TH Dinh, NH Pham, QP Ha, AQ Pham
Robotica 37 (5), 947-967, 2019
1212019
Autonomous robotic system using non-destructive evaluation methods for bridge deck inspection
T Le, S Gibb, N Pham, HM La, L Falk, T Berendsen
2017 IEEE International Conference on Robotics and Automation (ICRA), 3672-3677, 2017
612017
A hybrid stochastic optimization framework for composite nonconvex optimization
Q Tran-Dinh, NH Pham, DT Phan, LM Nguyen
Mathematical Programming 191 (2), 1005-1071, 2022
582022
Design and implementation of an autonomous robot for steel bridge inspection
NH Pham, HM La
2016 54th Annual Allerton Conference on Communication, Control, and …, 2016
552016
Hybrid stochastic gradient descent algorithms for stochastic nonconvex optimization
Q Tran-Dinh, NH Pham, DT Phan, LM Nguyen
arXiv preprint arXiv:1905.05920, 2019
532019
Visual and 3d mapping for steel bridge inspection using a climbing robot
NH Pham, HM La, QP Ha, SN Dang, AH Vo, QH Dinh
ISARC 2016-33rd International Symposium on Automation and Robotics in …, 2016
402016
FedDR–randomized Douglas-Rachford splitting algorithms for nonconvex federated composite optimization
Q Tran Dinh, NH Pham, D Phan, L Nguyen
Advances in Neural Information Processing Systems 34, 30326-30338, 2021
312021
Stochastic gauss-newton algorithms for nonconvex compositional optimization
Q Tran-Dinh, N Pham, L Nguyen
International Conference on Machine Learning, 9572-9582, 2020
282020
A hybrid stochastic policy gradient algorithm for reinforcement learning
N Pham, L Nguyen, D Phan, PH Nguyen, M Dijk, Q Tran-Dinh
International Conference on Artificial Intelligence and Statistics, 374-385, 2020
242020
Convergence rates of accelerated markov gradient descent with applications in reinforcement learning
TT Doan, LM Nguyen, NH Pham, J Romberg
arXiv preprint arXiv:2002.02873, 2020
242020
Finite-time analysis of stochastic gradient descent under markov randomness
TT Doan, LM Nguyen, NH Pham, J Romberg
arXiv preprint arXiv:2003.10973, 2020
222020
Regression optimization for system-level production control
DT Phan, LM Nguyen, P Murali, NH Pham, H Liu, JR Kalagnanam
2021 American Control Conference (ACC), 5023-5028, 2021
62021
c-MBA: Adversarial attack for cooperative MARL using learned dynamics model
NH Pham, LM Nguyen, J Chen, HT Lam, S Das, L Weng
NeurIPS ML Safety Workshop, 2022
32022
Evaluating robustness of cooperative marl: A model-based approach
NH Pham, LM Nguyen, J Chen, HT Lam, S Das, TW Weng
arXiv preprint arXiv:2202.03558, 2022
32022
Unleashing the Potential of Data Lakes with Semantic Enrichment Using Foundation Models
N Mihindukulasooriya, S Dash, S Bagchi, MFM Chowdhury, AM Gliozzo, ...
Proceedings of the ISWC, 2023
12023
Site-wide optimization for mixed regression models and mixed control variables
DT Phan, NH Pham, LM Nguyen
US Patent App. 17/330,363, 2022
12022
Adversarial attacks for improving cooperative multi-agent reinforcement learning systems
NH Pham, LM Nguyen, J Chen, TL Hoang, S Das
US Patent App. 17/951,870, 2024
2024
Attacking c-marl more effectively: A data driven approach
NH Pham, LM Nguyen, J Chen, HT Lam, S Das, TW Weng
2023 IEEE International Conference on Data Mining (ICDM), 1271-1276, 2023
2023
Matching Table Metadata with Business Glossaries Using Large Language Models
E Lobo, O Hassanzadeh, N Pham, N Mihindukulasooriya, D Subramanian, ...
arXiv preprint arXiv:2309.11506, 2023
2023
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