Ian B Wood

Title: Ian B. Wood and Online Hyperparameter Tuning

Introduction

Ian B. Wood is an inventor associated with Bloomington, Indiana, United States. His patent work concerns online hyperparameter tuning for distributed machine learning, a technique for adapting statistical models as they run across multiple entities.

Latest Patents

Wood is listed as an inventor on 1 patent: “Online Hyperparameter Tuning in Distributed Machine Learning.” The disclosed system calculates performance metrics for a batch of model versions, applies an optimization technique to update the model’s hyperparameters, and uses those updates to guide the execution of subsequent model versions. When a new entity joins the set, the system adds a corresponding dimension to the hyperparameters.

Career Highlights

Wood’s listed patent is associated with Microsoft Technology Licensing, LLC. It addresses the practical challenge of tuning distributed machine-learning models as data and participating entities change.

Collaborations

Chang-Ming Tsai is identified as Wood’s coworker and a collaborator on the patent.

Conclusion

Ian B. Wood’s patent describes an approach to continuously optimizing hyperparameters in distributed machine learning, including adapting the model when new entities are added.