Dmitrii Kharkovskii

2 accepted papers

2020

Nonmyopic Gaussian Process Optimization with Macro-Actions

Dmitrii Kharkovskii, Chun Kai Ling, Bryan Kian Hsiang Low

AISTATS 2020poster

This paper presents a multi-staged approach to nonmyopic adaptive Gaussian process optimization (GPO) for Bayesian optimization (BO) of unknown, highly complex objective functions that, in contrast to existing nonmyopic adaptive BO algorithms, exploits the notion of macro-actions for scaling up to a…

Cited by 15 Source ↗PDF ↗Scholar ↗

2020

Private Outsourced Bayesian Optimization

Dmitrii Kharkovskii, Zhongxiang Dai, Bryan Kian Hsiang Low

ICML 2020poster

This paper presents the private-outsourced-Gaussian process-upper confidence bound (PO-GP-UCB) algorithm, which is the first algorithm for privacy-preserving Bayesian optimization (BO) in the outsourced setting with a provable performance guarantee. We consider the outsourced setting where the entit…

Cited by 22 Source ↗PDF ↗code ↗Scholar ↗