108 citations · 267 across the 14 of their papers we have counts for
3 papers · 1 filter
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees
Yongjoo Park, Jingyi Qing, Xiaoyang Shen +1
The rising volume of datasets has made training machine learning (ML) models a major computational cost in the enterprise. Given the iterative nature of model and parameter tuning,…
QuickSel: Quick Selectivity Learning with Mixture Models
Yongjoo Park, Shucheng Zhong, Barzan Mozafari
Estimating the selectivity of a query is a key step in almost any cost-based query optimizer. Most of today's databases rely on histograms or samples that are periodically refreshe…
VerdictDB: Universalizing Approximate Query Processing
Yongjoo Park, Barzan Mozafari, Joseph Sorenson +1
Despite 25 years of research in academia, approximate query processing (AQP) has had little industrial adoption. One of the major causes of this slow adoption is the reluctance of…