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Private Outsourced Bayesian Optimization

Private Outsourced Bayesian Optimization

24 October 2020
D. Kharkovskii
Zhongxiang Dai
K. H. Low
ArXivPDFHTML

Papers citing "Private Outsourced Bayesian Optimization"

3 / 3 papers shown
Title
Practical Privacy-Preserving Gaussian Process Regression via Secret
  Sharing
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing
Jinglong Luo
Yehong Zhang
Jiaqi Zhang
Shuang Qin
Haibo Wang
Yue Yu
Zenglin Xu
42
5
0
26 Jun 2023
Training-Free Neural Active Learning with Initialization-Robustness
  Guarantees
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
Apivich Hemachandra
Zhongxiang Dai
Jasraj Singh
See-Kiong Ng
K. H. Low
AAML
36
6
0
07 Jun 2023
Adjusted Expected Improvement for Cumulative Regret Minimization in
  Noisy Bayesian Optimization
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
Shouri Hu
Haowei Wang
Zhongxiang Dai
K. H. Low
Szu Hui Ng
33
4
0
10 May 2022
1