Company Filing History:
Years Active: 2021-2025
Title: Halley Nicki Vance: Innovator in Hyperparameter Tuning
Introduction
Halley Nicki Vance is a prominent inventor based in San Francisco, CA. She has made significant contributions to the field of machine learning through her innovative patents. With a total of 3 patents, Vance is recognized for her expertise in tuning hyperparameters of models, which is crucial for optimizing machine learning algorithms.
Latest Patents
Vance's latest patents include groundbreaking systems and methods for tuning hyperparameters of a model. One of her notable inventions is a system that implements a hyperparameter tuning service. This service tunes hyperparameters by receiving a tuning request via an API, which includes tuning parameters and model training control parameters. The system monitors the training run and computes advanced training curtailment instructions based on collected training run data.
Another significant patent focuses on intelligent tuning of multiple hyperparameter criteria constrained with metric thresholds. This invention involves receiving a tuning request that includes two objective functions for the machine learning model. Vance's method defines a joint tuning function based on these objective functions and identifies a Pareto efficient frontier curve. This innovative approach allows for the demarcation of feasible and infeasible sections, leading to the identification of optimal hyperparameter values.
Career Highlights
Halley Nicki Vance is currently employed at Intel Corporation, where she continues to push the boundaries of machine learning technology. Her work has garnered attention for its practical applications in improving model training efficiency and effectiveness.
Collaborations
Vance collaborates with talented individuals in her field, including Michael McCourt and Ben Hsu. These partnerships enhance her innovative efforts and contribute to the advancement of technology in machine learning.
Conclusion
Halley Nicki Vance is a trailblazer in the realm of hyperparameter tuning, with her patents paving the way for more efficient machine learning models. Her contributions to Intel Corporation and collaborations with fellow innovators highlight her impact on the industry.