Private Outsourced Bayesian Optimization

24 October 2020

Papers citing "Private Outsourced Bayesian Optimization"

5 / 5 papers shown

Title
Differentially Private Kernelized Contextual Bandits Nikola Pavlovic Sudeep Salgia Qing Zhao 40 1 0 13 Jan 2025
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing Jinglong Luo Yehong Zhang Jiaqi Zhang Shuang Qin Haibo Wang Yue Yu Zenglin Xu 51 5 0 26 Jun 2023
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 Shouri Hu Haowei Wang Zhongxiang Dai K. H. Low Szu Hui Ng 33 4 0 10 May 2022
Differentially Private Federated Bayesian Optimization with Distributed Exploration Zhongxiang Dai K. H. Low Patrick Jaillet FedML 21 41 0 27 Oct 2021