106 citations · 429 across the 28 of their papers we have counts for
4 papers · 1 filter
Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise
Cedric Renggli, Luka Rimanic, Luka Kolar +2
In our experience of working with domain experts who are using today's AutoML systems, a common problem we encountered is what we call "unrealistic expectations" -- when users are…
Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates
Wentao Wu, Philip A. Bernstein, Alex Raizman +1
Window aggregates are ubiquitous in stream processing. In Azure Stream Analytics (ASA), a stream processing service hosted by Microsoft's Azure cloud, we see many customer queries…
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions
Bojan Karlaš, Peng Li, Renzhi Wu +4
Machine learning (ML) applications have been thriving recently, largely attributed to the increasing availability of data. However, inconsistency and incomplete information are ubi…
A Note On Operator-Level Query Execution Cost Modeling
Wentao Wu
External query execution cost modeling using query execution feedback has found its way in various database applications such as admission control and query scheduling. Existing te…