29 citations · 71 across the 7 of their papers we have counts for
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stat.ML2020★ 29 cited
Monitoring and explainability of models in production
Janis Klaise, Arnaud Van Looveren, Clive Cox +2
The machine learning lifecycle extends beyond the deployment stage. Monitoring deployed models is crucial for continued provision of high quality machine learning enabled services.…
stat.ML2020★ 1 cited
Practical Bayesian Optimization of Objectives with Conditioning Variables
Michael Pearce, Janis Klaise, Matthew Groves
Bayesian optimization is a class of data efficient model based algorithms typically focused on global optimization. We consider the more general case where a user is faced with mul…