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.

Hsiang Kuang

Kian Pakzad

Kian Yazdi

Kian Momeni

Kian Moussazadeh

Other publications of authors with the same name

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates.Z. Liu, L. Luo, and B. Low. AAAI, page 14097-14105. AAAI Press, (2024)Decentralized Sum-of-Nonconvex Optimization.Z. Liu, and B. Low. AAAI, page 14088-14096. AAAI Press, (2024)Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion.T. Hoang, T. Lam, B. Low, and P. Jaillet. ICML, volume 119 of Proceedings of Machine Learning Research, page 4282-4292. PMLR, (2020)Trusted-maximizers entropy search for efficient Bayesian optimization.Q. Nguyen, Z. Wu, B. Low, and P. Jaillet. UAI, volume 161 of Proceedings of Machine Learning Research, page 1486-1495. AUAI Press, (2021)FCM-sketch: generic network measurements with data plane support.C. Song, P. Kannan, B. Low, and M. Chan. CoNEXT, page 78-92. ACM, (2020)Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning.X. Xu, L. Lyu, X. Ma, C. Miao, C. Foo, and B. Low. NeurIPS, page 16104-16117. (2021)Differentially Private Federated Bayesian Optimization with Distributed Exploration.Z. Dai, B. Low, and P. Jaillet. NeurIPS, page 9125-9139. (2021)Federated Bayesian Optimization via Thompson Sampling.Z. Dai, B. Low, and P. Jaillet. NeurIPS, (2020)Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization.S. Balakrishnan, Q. Nguyen, B. Low, and H. Soh. NeurIPS, (2020)Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars.Z. Wu, X. Lin, Z. Dai, W. Hu, Y. Shu, S. Ng, P. Jaillet, and B. Low. CoRR, (2024)

BibSonomy

Disambiguation of "Low, Bryan Kian Hsiang"

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

Hsiang Kuang

Kian Pakzad

Kian Yazdi

Kian Momeni

Kian Moussazadeh

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Low, Bryan Kian Hsiang"

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

Hsiang Kuang

Kian Pakzad

Kian Yazdi

Kian Momeni

Kian Moussazadeh

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.