Search Results for author:
Found 5 papers, 1 papers with code
Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility
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
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
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.
QuickSel: Quick Selectivity Learning with Mixture Models
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
Also, processing more queries should continuously enhance our knowledge of the underlying distribution, and hence lead to increasingly faster response times for future queries.
