Lam Nguyen
 Lam Nguyen | |
|---|---|
| Rayuwa | |
| Sana'a | |
| Sana'a |
computer scientist (en)  |
Lam M. Nguyen (ko Lam Nguyen; Vietnamese: Nguyễn Minh Lâm, an haife shi a ranar 22 ga Oktoba, 1986) [1] [2] masanin kimiyyar kwamfuta ne na Vietnamese-Amurka kuma masanin lissafi ne wanda aka sani da gudummawarsa ga inganta algorithms don ilmantarwa na inji kuma sananne ne don ba da shawara da haɓaka hanyar SARAH. [3] Shi Masanin Kimiyya ne na Bincike a Cibiyar Bincike ta IBM, Thomas J. Watson, New York, Amurka, inda bincikensa ke mai da hankali kan haɗuwa da ingantawa da ilmantarwa na inji.[4] Shi babban memba ne na INFORMS kuma memba ne na kungiyar girmamawa ta Beta Gamma Sigma, ɗaya daga cikin mafi girman girmamawa da ɗaliban kasuwanci zai iya karɓa.[5][6]
Ilimi da aiki
[gyara sashe | gyara masomin]Nguyen ta sami digiri na farko na Kimiyya a cikin lissafi da kimiyyar kwamfuta daga Jami'ar Jihar Lomonosov Moscow (2008) a karkashin kulawar Vladimir Dmitriev[2], MBA daga Jami'an Jihar McNeese (2013), da Ph.D. a cikin Masana'antu da Injiniya daga Jami'a Lehigh (2018). Rubutun nasa, A Service System with On-Demand Agents, Stochastic Gradient Algorithms da SARAH Algorithm, sun sami lambar yabo ta Elizabeth V. Stout Dissertation Award na jami'ar.[7] Mai ba da shawara ga digirinsa shine Katya Scheinberg .
Bincike da gudummawa
[gyara sashe | gyara masomin]Binciken Nguyen yana kan hanyoyin ingantawa don ilmantarwa na inji da ingantaccen tsari. An san shi a matsayin jagora mai kirkirar SARAH (Stochastic Recursive Gradient) algorithm, wanda aka gabatar a ICML 2017, wanda ya rinjayi nau'ikan hanyoyin inganta bambancin bambance-bambance.[3][8][9][10][11]
Shi ne co-editor na littafin Federated Learning: Theory and Practice (Elsevier, 2024), wanda ke ba da haɗin kai game da fannoni na ka'idoji da amfani na ilmantarwa na tarayya.[12]
Ayyukan edita da ƙwararru
[gyara sashe | gyara masomin]Nguyen yana aiki a matsayin Editan Ayyuka don Jaridar Nazarin Injin da Ilimin Injin, kuma a matsayin Mataimakin Edita na Jaridar Ka'idar Ingantawa da Aikace-aikace. [13] [14][15] Ya kasance a cikin Kwamitin Shirye-shiryen Taron kan Tsarin Gudanar da Bayanai na Neural (NeurIPS) 2023-2025, da Babban Shugaban Yankin Taron Kasa da Kasa kan Ilimin Injin (ICML) , Taron Kasa na Duniya kan Wakilan Ilimi (ICLR), Taron kan Tsaro na Bayanai na Niural (NeuriIPS), da Artificial Intelligence da Statistics (AISTATS).[16] Ya shirya bita a NeurIPS 2021 da AAAI 2023.
Manazarta
[gyara sashe | gyara masomin]- ↑ "NeurIPS 2025 Ogranizing Committee". NeurIPS.
- ↑ 2.0 2.1 "Biography". Personal Website. Cite error: Invalid
<ref>tag; name "Biography_LamNguyen" defined multiple times with different content - ↑ 3.0 3.1 Nguyen, Lam M.; Liu, Jie; Scheinberg, Katya; Takáč, Martin. "SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient". ICML 2017.CS1 maint: multiple names: authors list (link) Cite error: Invalid
<ref>tag; name "ICML2017" defined multiple times with different content - ↑ "Lam M. Nguyen - IBM Research". IBM Research.
- ↑ "INFORMS Senior Membership Program Recognizes Dedicated Members". INFORMS.
- ↑ "Honor Society Museum". Honor Society Museum.
- ↑ "Lehigh PhD graduates honored at 2019 hooding ceremony". Lehigh University.
- ↑ Fang, Cong; Li, Chris Junchi; Lin, Zhouchen; Zhang, Tong. "SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator" (PDF). NeurIPS 2018.CS1 maint: multiple names: authors list (link)
- ↑ Pham, Nhan; Nguyen, Lam M.; Phan, Dzung T.; Tran-Dinh, Quoc. "ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization" (PDF). JMLR 2020.CS1 maint: multiple names: authors list (link)
- ↑ Li, Zhize; Bao, Hongyan; Zhang, Xiangliang; Richtarik, Peter. "PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization" (PDF). ICML 2021.CS1 maint: multiple names: authors list (link)
- ↑ Li, Rengang; Yan, Ruidong; Guo, Zhenhua; Qiu, Zhiyong; Zhao, Yaqian; Wang, Yanwei. "DM-SARAH: A Variance Reduction Optimization Algorithm for Machine Learning Systems". IEEE 2024.CS1 maint: multiple names: authors list (link)
- ↑ Nguyen, Lam M.; Hoang, Trong Nghia; Chen, Pin-Yu (2024). "Federated Learning: Theory and Practice". Elsevier.CS1 maint: multiple names: authors list (link)
- ↑ "Journal of Machine Learning Research- Editorial Board". JMLR.
- ↑ "Machine Learning - Editorial Board". Machine Learning.
- ↑ "Journal of Optimization Theory and Applications - Editorial Board". Journal of Optimization Theory and Applications.
- ↑ "NeurIPS 2025 Ogranizing Committee". NeurIPS.