Patents by Inventor Mark Frederick Eberstein

Mark Frederick Eberstein has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240127125
    Abstract: Systems and methods for training models to improve fairness.
    Type: Application
    Filed: December 12, 2023
    Publication date: April 18, 2024
    Inventors: Sean Javad Kamkar, Michael Egan Van Veen, Feng Li, Mark Frederick Eberstein, Jose Efrain Valentin, Jerome Louis Budzik, John Wickens Lamb Merrill
  • Publication number: 20240046158
    Abstract: Methods, non-transitory computer readable media, and model evaluations systems for understanding diverse machine learning models (MLMs) are disclosed. In some examples, a feature contribution value is determined for features included in a reference or evaluation input data set. The evaluation input data set represents a protected class population and each feature contribution value identifies a contribution by a feature to a difference in output generated by an MLM for the evaluation input data set. Model explanation information is generated using the feature contribution values and execution of the MLM is monitored. The model explanation information explains the difference in output generated by the MLM for the evaluation input data set and includes information relating to a model-based decision. A report is generated from a knowledge graph for the MLM and output via a GUI to an operator device that includes the model explanation information.
    Type: Application
    Filed: October 19, 2023
    Publication date: February 8, 2024
    Inventors: John Wickens Lamb Merrill, Geoffrey Michael Ward, Sean Javad Kamkar, John Joseph Beahan, JR., Mark Frederick Eberstein, Jose Efrain Valentin, Jerome Louis Budzik
  • Patent number: 11893466
    Abstract: Systems and methods for training models to improve fairness.
    Type: Grant
    Filed: January 12, 2021
    Date of Patent: February 6, 2024
    Assignee: ZESTFINANCE, INC.
    Inventors: Sean Javad Kamkar, Michael Egan Van Veen, Feng Li, Mark Frederick Eberstein, Jose Efrain Valentin, Jerome Louis Budzik, John Wickens Lamb Merrill
  • Patent number: 11816541
    Abstract: Systems and methods for understanding diverse machine learning models.
    Type: Grant
    Filed: November 19, 2019
    Date of Patent: November 14, 2023
    Assignee: ZestFinance, Inc.
    Inventors: John Wickens Lamb Merrill, Geoffrey Michael Ward, Sean Javad Kamkar, John Joseph Beahan, Jr., Mark Frederick Eberstein, Jose Efrain Valentin, Jerome Louis Budzik
  • Publication number: 20210133870
    Abstract: Systems and methods for training models to improve fairness.
    Type: Application
    Filed: January 12, 2021
    Publication date: May 6, 2021
    Inventors: Sean Javad Kamkar, Michael Egan Van Veen, Feng Li, Mark Frederick Eberstein, Jose Efrain Valentin, Jerome Louis Budzik, John Wickens Lamb Merrill
  • Patent number: 10977729
    Abstract: Systems and methods for training models to improve fairness.
    Type: Grant
    Filed: March 18, 2020
    Date of Patent: April 13, 2021
    Assignee: ZestFinance, Inc.
    Inventors: Sean Javad Kamkar, Michael Egan Van Veen, Feng Li, Mark Frederick Eberstein, Jose Efrain Valentin, Jerome Louis Budzik, John Wickens Lamb Merrill