Search Results for author: Yongjoo Park

Found 5 papers, 1 papers with code

Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility

no code implementations15 May 2023 Supawit Chockchowwat, Zhaoheng Li, Yongjoo Park

In machine learning (ML), Python serves as a convenient abstraction for working with key libraries such as PyTorch, scikit-learn, and others.

Airphant: Cloud-oriented Document Indexing

no code implementations26 Dec 2021 Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park

However, simply placing existing search engines (e. g., Apache Lucene) on top of cloud storage significantly increases their end-to-end query latencies (i. e., more than 6 seconds on average in one of our studies).

BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees

no code implementations26 Dec 2018 Yongjoo Park, Jingyi Qing, Xiaoyang Shen, Barzan Mozafari

Most practitioners cannot precisely capture the effect of sampling on the quality of their model, and eventually on their decision-making process during the tuning phase.

Decision Making regression

QuickSel: Quick Selectivity Learning with Mixture Models

1 code implementation26 Dec 2018 Yongjoo Park, Shucheng Zhong, Barzan Mozafari

Estimating the selectivity of a query is a key step in almost any cost-based query optimizer.

Databases

Database Learning: Toward a Database that Becomes Smarter Every Time

no code implementations16 Mar 2017 Yongjoo Park, Ahmad Shahab Tajik, Michael Cafarella, Barzan Mozafari

Also, processing more queries should continuously enhance our knowledge of the underlying distribution, and hence lead to increasingly faster response times for future queries.

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