17 citations · 18 across the 4 of their papers we have counts for
4 papers
Variable-preconditioned transformed primal-dual method for generalized Wasserstein Gradient Flows
Jin Zeng, Dawei Zhan, Ruchi Guo +1
We propose a Variable-Preconditioned Transformed Primal-Dual (VPTPD) method for solving generalized Wasserstein gradient flows based on the structure-preserving JKO scheme. This is…
An Adaptive Dropout Approach for High-Dimensional Bayesian Optimization
Jundi Huang, Dawei Zhan
Bayesian optimization (BO) is a widely used algorithm for solving expensive black-box optimization problems. However, its performance decreases significantly on high-dimensional pr…
Scalable Batch Bayesian Optimization Via Subspace Acquisition Functions
Dawei Zhan, Zhaoxi Zeng, Shuoxiao Wei +1
Extending Bayesian optimization to batch evaluation can enable the designer to make the most use of parallel computing technology. However, most of current batch approaches do not…
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Dawei Zhan
Bayesian optimization (BO) algorithm is very popular for solving low-dimensional expensive optimization problems. Extending Bayesian optimization to high dimension is a meaningful…