Jacob Bollinger

Title: Jacob Bollinger: Innovator in Machine Learning

Introduction

Jacob Bollinger is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning, holding a total of 3 patents. His work focuses on developing frameworks and techniques that enhance the understanding and application of machine learning in various contexts.

Latest Patents

Jacob's latest patents include a multi-task learning framework for multi-context machine learning. This innovative framework infers a user's value for a particular attribute by utilizing a multi-task machine learning process with uncertainty weighting. It incorporates signals from multiple contexts, acknowledging that a user's value for an attribute can vary depending on the situation. The framework aims to measure user attributes under specific contexts, collecting signals for attribute levels and employing machine learning models to estimate these values.

Another notable patent involves techniques for suggesting skills. This patent describes an ensemble machine learning approach for ranking skills that may be possessed by an end-user of an online service. By combining the outputs of two heterogeneous machine-learned models, the technique ranks a set of skills and presents the highest-ranking skills to the end-user. This approach enhances the performance of weaker models through a process known as 'boosting', resulting in better outcomes than individual models alone.

Career Highlights

Jacob Bollinger is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the field of machine learning. His work has garnered attention for its practical applications and contributions to the advancement of technology.

Collaborations

Jacob collaborates with talented individuals such as Xiao Yan and Jaewon Yang, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Jacob Bollinger is a key figure in the realm of machine learning, with a focus on developing frameworks and techniques that enhance user experience and understanding. His contributions through patents and collaborations continue to shape the future of technology.