Author of the publication

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

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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Vuong Trong Nghia

Truong Trong Nghia

Trong Nghia Nguyen

Tran Trong Nghia

Hoang-Duc-Nghia

Other publications of authors with the same name

Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression.H. Yu, T. Hoang, B. Low, and P. Jaillet. IJCNN, page 1-8. IEEE, (2019)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)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)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)Federated Estimation of Causal Effects from Observational Data.T. Vo, T. Hoang, Y. Lee, and T. Leong. CoRR, (2021)CHEER: Rich Model Helps Poor Model via Knowledge Infusion.C. Xiao, T. Hoang, S. Hong, T. Ma, and J. Sun. CoRR, (2020)RDPD: Rich Data Helps Poor Data via Imitation.S. Hong, C. Xiao, T. Hoang, T. Ma, H. Li, and J. Sun. IJCAI, page 5895-5901. ijcai.org, (2019)Model Fusion for Personalized Learning.T. Lam, T. Hoang, B. Low, and P. Jaillet. ICML, volume 139 of Proceedings of Machine Learning Research, page 5948-5958. PMLR, (2021)Bayesian federated estimation of causal effects from observational data.T. Vo, Y. Lee, T. Hoang, and T. Leong. UAI, volume 180 of Proceedings of Machine Learning Research, page 2024-2034. PMLR, (2022)Near-Optimal Active Learning of Multi-Output Gaussian Processes.Y. Zhang, T. Hoang, K. Low, and M. Kankanhalli. AAAI, page 2351-2357. AAAI Press, (2016)

BibSonomy

Disambiguation of "Hoang, Trong Nghia"

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

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
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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