Chengdong Zhao

collaborators

4 papers

stat.ML2025

Gradient-based Sample Selection for Faster Bayesian Optimization

Qiyu Wei, Haowei Wang, Zirui Cao +3

Bayesian optimization (BO) is an effective technique for black-box optimization. However, its applicability is typically limited to moderate-budget problems due to the cubic comple…

math.CO2024

Characterizing Nice Partition of Graphical Arrangements

Weikang Liang, Suijie Wang, Chengdong Zhao

The successive works of Terao as well as Stanley revealed that, for graphical arrangements, supersolvability and the existence of nice partitions are equivalent properties, both ch…

math.CO2024

$k$ -Adjoint of Hyperplane Arrangements

Weikang Liang, Suijie Wang, Chengdong Zhao

In this paper, we introduce the $k$ -adjoint of a given hyperplane arrangement $A$ associated with rank- $k$ elements in the intersection lattice $L (A)$ , which ge…

math.CO2024

Level Decompositions for Symmetric Deformations of the Braid Arrangement

Yanru Chen, Suijie Wang, Jinxing Yang +1

Let $A \subseteq R_{\geq 0}$ be finite and nonempty, and let $A^{A} = (A_{1}^{A}, A_{2}^{A}, \dots)$ be the associated sequence of symmetric deformations of t…

Gradient-based Sample Selection for Faster Bayesian Optimization

Characterizing Nice Partition of Graphical Arrangements

k-Adjoint of Hyperplane Arrangements

Level Decompositions for Symmetric Deformations of the Braid Arrangement

$k$ -Adjoint of Hyperplane Arrangements