2 citations · 4 across the 3 of their papers we have counts for
4 papers
Adapting Nonstationary Multi-output Gaussian Processes to Bayesian Optimization
Zikai Xie
Multi-objective Bayesian optimization (MOBO) commonly relies on independent Gaussian processes (GPs) with stationary kernels, limiting its ability to represent nonstationary struct…
From Sorting Algorithms to Scalable Kernels: Bayesian Optimization in High-Dimensional Permutation Spaces
Zikai Xie, Linjiang Chen
Bayesian Optimization (BO) is a powerful tool for black-box optimization, but its application to high-dimensional permutation spaces is severely limited by the challenge of definin…
Order Matters in Hallucination: Reasoning Order as Benchmark and Reflexive Prompting for Large-Language-Models
Zikai Xie
Large language models (LLMs) have generated significant attention since their inception, finding applications across various academic and industrial domains. However, these models…
Domain Knowledge Injection in Bayesian Search for New Materials
Zikai Xie, Xenophon Evangelopoulos, Joseph Thacker +1
In this paper we propose DKIBO, a Bayesian optimization (BO) algorithm that accommodates domain knowledge to tune exploration in the search space. Bayesian optimization has recentl…