Scott Clark

USPTO Granted Patents = 26 (Patent Applications = 3)

Average Co-Inventor Count = 4.2

ph-index = 10

Forward Citations = 184(Granted Patents)

Company Filing History:

Years Active: 2006-2025

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26 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12450479 - Systems and methods for tuning hyperparameters of a model and advanced curtailment of a training of the model (2025-10-21),

2. 12373699 - Systems and methods for an accelerated tuning of hyperparameters of a model using a machine learning-based tuning service (2025-07-29),

3. 12236287 - Systems and methods for implementing an intelligent application program interface for an intelligent optimization platform (2025-02-25),

4. 12159209 - Systems and methods for an accelerated and enhanced tuning of a model based on prior model tuning data (2024-12-03),

5. 12141667 - Systems and methods implementing an intelligent optimization platform (2024-11-12),

6. 12033036 - Systems and methods for implementing an intelligent tuning of multiple hyperparameter criteria of a model constrained with metric thresholds (2024-07-09),

7. 11966860 - Systems and methods implementing an intelligent machine learning tuning system providing multiple tuned hyperparameter solutions (2024-04-23),

8. 11709719 - Systems and methods for implementing an intelligent application program interface for an intelligent optimization platform (2023-07-25),

9. 11704567 - Systems and methods for an accelerated tuning of hyperparameters of a model using a machine learning-based tuning service (2023-07-18),

10. 11699098 - Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria (2023-07-11),

11. 11301781 - Systems and methods implementing an intelligent optimization platform (2022-04-12),

12. 11270217 - Systems and methods implementing an intelligent machine learning tuning system providing multiple tuned hyperparameter solutions (2022-03-08),

13. 11163615 - Systems and methods for implementing an intelligent application program interface for an intelligent optimization platform (2021-11-02),

14. 11157812 - Systems and methods for tuning hyperparameters of a model and advanced curtailment of a training of the model (2021-10-26),

15. 10740695 - Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria (2020-08-11),

Title: Scott Clark: A Leader in Machine Learning Innovations

Introduction

Scott Clark is a prominent inventor based in San Francisco, California, renowned for his contributions to the field of machine learning and optimization algorithms. With an impressive portfolio of 24 patents, Scott stands out as a pivotal figure in the innovation landscape of technology.

Latest Patents

Scott's latest patents demonstrate his commitment to enhancing machine learning processes. One of his notable inventions is a system and method for implementing an intelligent application program interface for an intelligent optimization platform. This API controls the operations of a machine learning tuning service, ensuring improved accuracy and computational performance by executing API call functions that set tuning parameters and manage tuning tasks.

Another significant invention by Scott focuses on accelerated tuning of a model based on prior model tuning data. This patent outlines systems and methods that leverage historical data for efficient hyperparameter tuning. By assessing model relatedness and coherence, it constructs prior mixture models to identify effective transfer tuning data, streamlining the optimization process for machine learning models.

Career Highlights

Scott Clark has had a successful career, working with prominent companies such as Intel Corporation and SigOpt, Inc. His experience in these leading organizations has contributed to his development as an expert in the machine learning domain.

Collaborations

Throughout his career, Scott has collaborated with notable professionals, including Patrick Hayes and Michael McCourt. These partnerships have allowed him to further his research and advancements in the field of machine learning, enhancing his innovative output.

Conclusion

With a strong commitment to innovation and a significant portfolio of patents, Scott Clark exemplifies the profound impact that creative thinkers can have in the ever-evolving world of technology. His contributions to machine learning not only advance technical capabilities but also inspire future generations of inventors.

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