Eero Laaksonen

Publication Activity (10 Years)

Years Active: 2020-2021
Publications (10 Years): 4

Top Topics

Parameter Optimization

Top Venues

NeurIPS (Competition and Demos)

Publications

Sasu Mäkinen, Henrik Skogström, Eero Laaksonen, Tommi Mikkonen
Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help? CoRR (2021)
Sasu Mäkinen, Henrik Skogström, Eero Laaksonen, Tommi Mikkonen
Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help? WAIN@ICSE (2021)
Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. CoRR (2021)
Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. NeurIPS (Competition and Demos) (2020)