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arXiv · 2202.07735

A Light-Weight Multi-Objective Asynchronous Hyper-Parameter Optimizer

Gabriel Maher·Stephen Boyd·Mykel Kochenderfer·Cristian Matache·Dylan Reuter·Alex Ulitsky·Slava Yukhymuk·Leonid Kopman
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Abstract

We describe a light-weight yet performant system for hyper-parameter optimization that approximately minimizes an overall scalar cost function that is obtained by combining multiple performance objectives using a target-priority-limit scalarizer. It also supports a trade-off mode, where the goal is to find an appropriate trade-off among objectives by interacting with the user. We focus on the common scenario where there are on the order of tens of hyper-parameters, each with various attributes such as a range of continuous values, or a finite list of values, and whether it should be treated on a linear or logarithmic scale. The system supports multiple asynchronous simulations and is robust to simulation stragglers and failures.

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Gabriel Maher, Stephen Boyd, Mykel Kochenderfer, Cristian Matache, Dylan Reuter, Alex Ulitsky, Slava Yukhymuk, Leonid Kopman. 2022-02-15. A Light-Weight Multi-Objective Asynchronous Hyper-Parameter Optimizer. https://arxiv.org/abs/2202.07735

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