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cs.LG2024
Navigating in High-Dimensional Search Space: A Hierarchical Bayesian Optimization Approach
Wenxuan Li, Taiyi Wang, Eiko Yoneki
Optimizing black-box functions in high-dimensional search spaces has been known to be challenging for traditional Bayesian Optimization (BO). In this paper, we introduce HiBO, a no…
cs.DB2024
Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond
George-Octavian Bărbulescu, Taiyi Wang, Zak Singh +1
Query rewrite systems perform graph substitutions using rewrite rules to generate optimal SQL query plans. Rewriting logical and physical relational query plans is proven to be an…
cs.DB2024★ 2 cited
IA2: Leveraging Instance-Aware Index Advisor with Reinforcement Learning for Diverse Workloads
Taiyi Wang, Eiko Yoneki
This study introduces the Instance-Aware Index Advisor (IA2), a novel deep reinforcement learning (DRL)-based approach for optimizing index selection in databases facing large acti…