67 citations · 75 across the 3 of their papers we have counts for
3 papers
Interactive Preference Learning of Utility Functions for Multi-Objective Optimization
Ian Dewancker, Michael McCourt, Samuel Ainsworth
Real-world engineering systems are typically compared and contrasted using multiple metrics. For practical machine learning systems, performance tuning is often more nuanced than m…
Bayesian Optimization for Machine Learning : A Practical Guidebook
Ian Dewancker, Michael McCourt, Scott Clark
The engineering of machine learning systems is still a nascent field; relying on a seemingly daunting collection of quickly evolving tools and best practices. It is our hope that t…
Preemptive Termination of Suggestions during Sequential Kriging Optimization of a Brain Activity Reconstruction Simulation
Michael McCourt, Ian Dewancker, Salvatore Ganci
Reconstructing brain activity through electroencephalography requires a boundary value problem (BVP) solver to take a proposed distribution of current dipoles within the brain and…