50 citations · 75 across the 2 of their papers we have counts for
4 papers
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…
Database Learning: Toward a Database that Becomes Smarter Every Time
Yongjoo Park, Ahmad Shahab Tajik, Michael Cafarella +1
In today's databases, previous query answers rarely benefit answering future queries. For the first time, to the best of our knowledge, we change this paradigm in an approximate qu…