110 citations · 304 across the 26 of their papers we have counts for
3 papers · 1 filter
Design of Experiments for Verifying Biomolecular Networks
Ruby Sedgwick, John Goertz, Molly Stevens +2
There is a growing trend in molecular and synthetic biology of using mechanistic (non machine learning) models to design biomolecular networks. Once designed, these networks need t…
A robust approach to warped Gaussian process-constrained optimization
Johannes Wiebe, Inês Cecílio, Jonathan Dunlop +1
Optimization problems with uncertain black-box constraints, modeled by warped Gaussian processes, have recently been considered in the Bayesian optimization setting. This work intr…
ENTMOOT: A Framework for Optimization over Ensemble Tree Models
Alexander Thebelt, Jan Kronqvist, Miten Mistry +3
Gradient boosted trees and other regression tree models perform well in a wide range of real-world, industrial applications. These tree models (i) offer insight into important pred…