165 citations · 165 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 165 cited
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
Ryan Turner, David Eriksson, Michael McCourt +4
This paper presents the results and insights from the black-box optimization (BBO) challenge at NeurIPS 2020 which ran from July-October, 2020. The challenge emphasized the importa…
cs.SE2021
Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help?
Sasu Mäkinen, Henrik Skogström, Eero Laaksonen +1
Following continuous software engineering practices, there has been an increasing interest in rapid deployment of machine learning (ML) features, called MLOps. In this paper, we st…