Company Filing History:
Years Active: 2020-2024
Title: Bolong Cheng: Innovator in Machine Learning Optimization
Introduction
Bolong Cheng is a prominent inventor based in San Francisco, CA, known for his contributions to the field of machine learning optimization. With a total of six patents to his name, Cheng has made significant strides in developing systems and methods that enhance the performance of machine learning models.
Latest Patents
Cheng's latest patents include innovative systems and methods for implementing intelligent tuning of multiple hyperparameter criteria of a model constrained with metric thresholds. This patent outlines a process that involves receiving a tuning request for hyperparameters, which includes distinct objective functions for the machine learning model. The invention defines a joint tuning function based on these objective functions and executes a tuning operation to identify a Pareto efficient frontier curve. This curve is then analyzed to propose optimal hyperparameter values.
Another notable patent focuses on implementing an intelligent machine learning optimization platform for multiple tuning criteria. This invention details a process for receiving a multi-criteria tuning work request, computing a joint tuning function, and executing a tuning operation based on this function. The outcome is the identification of proposed hyperparameter values along a convex Pareto optimal curve.
Career Highlights
Throughout his career, Bolong Cheng has worked with notable companies such as SigOpt, Inc. and Intel Corporation. His experience in these organizations has contributed to his expertise in machine learning and optimization techniques.
Collaborations
Cheng has collaborated with talented individuals in the field, including Olivia Kim and Michael McCourt. These partnerships have likely fostered innovative ideas and advancements in their respective projects.
Conclusion
Bolong Cheng's work in machine learning optimization has led to significant advancements in the field, as evidenced by his patents and collaborations. His contributions continue to shape the future of intelligent systems and model tuning.