Company Filing History:
Years Active: 2016
Title: Innovator Spotlight: Kristen Riedt LeFevre
Introduction: Kristen Riedt LeFevre is a notable inventor based in San Francisco, California. With an impressive background in machine learning and a passion for innovation, she has made significant contributions to the field, particularly in the realm of regularization techniques for learning systems.
Latest Patents: Kristen holds one patent titled "Template Regularization for Generalization of Learning Systems." This patent discloses systems and techniques for training a machine learning model that employs one or more regularization penalties linked to specific features. It emphasizes the preference for templates with lower regularization penalties over those with higher ones, and includes methods for determining penalties based on domain knowledge. Additionally, it addresses how restrictive regularization penalties may be modified based on template occurrences that meet or exceed stability thresholds.
Career Highlights: Currently, Kristen works at Google Inc., where she continues to push the boundaries of artificial intelligence and machine learning. Her expertise has allowed her to contribute to cutting-edge projects and further enhance the capabilities of the technologies she helps develop.
Collaborations: Throughout her career, Kristen has collaborated with notable colleagues, including Yoram Singer and Tal Shaked. These partnerships have fostered a rich environment for innovation and have resulted in advancements that benefit the wider tech community.
Conclusion: Kristen Riedt LeFevre stands out as an influential inventor whose work is shaping the future of machine learning. Her patent on template regularization demonstrates her innovative approach to complex problems, ensuring that her contributions will have a lasting impact on the field. With her ongoing work at Google Inc. and collaborations with prominent figures in technology, Kristen continues to inspire the next generation of inventors and innovators.