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Nonmyopic \(\epsilon\)-Bayes-Optimal Active Learning of Gaussian Processes.

T. Hoang, B. Low, P. Jaillet, and M. Kankanhalli. ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 739-747. JMLR.org, (2014)

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Vuong Trong Nghia

Truong Trong Nghia

Trong Nghia Nguyen

Tran Trong Nghia

Hoang-Duc-Nghia

Other publications of authors with the same name

Decision-theoretic approach to maximizing observation of multiple targets in multi-camera surveillance.P. Natarajan, T. Hoang, K. Low, and M. Kankanhalli. AAMAS, page 155-162. IFAAMAS, (2012)Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches.L. Liu, T. Hoang, L. Nguyen, and T. Weng. ICDM, page 1145-1150. IEEE, (2023)AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings.T. Hoang, S. Hong, C. Xiao, B. Low, and J. Sun. WWW, page 3569-3581. ACM / IW3C2, (2021)Personalized federated domain adaptation for item-to-item recommendation.Z. Fan, H. Ding, A. Deoras, and T. Hoang. UAI, volume 216 of Proceedings of Machine Learning Research, page 560-570. PMLR, (2023)A Multi-agent Mechanism in Machine Learning Approach to Anti-virus System.M. Truong, and T. Hoang. KES-AMSTA, volume 4953 of Lecture Notes in Computer Science, page 743-752. Springer, (2008)Federated learning of models pre-trained on different features with consensus graphs.T. Ma, T. Hoang, and J. Chen. UAI, volume 216 of Proceedings of Machine Learning Research, page 1336-1346. PMLR, (2023)Incentives in Private Collaborative Machine Learning.R. Sim, Y. Zhang, T. Hoang, X. Xu, B. Low, and P. Jaillet. CoRR, (2024)Pre-trained Recommender Systems: A Causal Debiasing Perspective.Z. Lin, H. Ding, T. Hoang, B. Kveton, A. Deoras, and H. Wang. WSDM, page 424-433. ACM, (2024)Collective Model Fusion for Multiple Black-Box Experts.Q. Hoang, T. Hoang, B. Low, and C. Kingsford. ICML, volume 97 of Proceedings of Machine Learning Research, page 2742-2750. PMLR, (2019)A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data.T. Hoang, Q. Hoang, and B. Low. ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 569-578. JMLR.org, (2015)

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Disambiguation of "Hoang, Trong Nghia"

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Nonmyopic \(\epsilon\)-Bayes-Optimal Active Learning of Gaussian Processes.

Please choose a person to relate this publication to

Vuong Trong Nghia

Truong Trong Nghia

Trong Nghia Nguyen

Tran Trong Nghia

Hoang-Duc-Nghia

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hoang, Trong Nghia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Nonmyopic \(\epsilon\)-Bayes-Optimal Active Learning of Gaussian Processes.

Please choose a person to relate this publication to

Vuong Trong Nghia

Truong Trong Nghia

Trong Nghia Nguyen

Tran Trong Nghia

Hoang-Duc-Nghia

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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MSOffice XML

Nonmyopic \(\epsilon\)-Bayes-Optimal Active Learning of Gaussian Processes.