1 citations · 1 across the 2 of their papers we have counts for
2 papers
econ.EM2025
MLOps Monitoring at Scale for Digital Platforms
Yu Jeffrey Hu, Jeroen Rombouts, Ines Wilms
Machine learning models are widely recognized for their strong performance in forecasting. To keep that performance in streaming data settings, they have to be monitored and freque…
econ.EM2023★ 1 cited
Fast Forecasting of Unstable Data Streams for On-Demand Service Platforms
Yu Jeffrey Hu, Jeroen Rombouts, Ines Wilms
On-demand service platforms face a challenging problem of forecasting a large collection of high-frequency regional demand data streams that exhibit instabilities. This paper devel…