3 papers
math.NA2025
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…
cs.LG2025
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…
cs.LG2024
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…