Patents by Inventor Sara S. Gerrard

Sara S. Gerrard 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).

  • Feature selection impact analysis for statistical models
    Patent number: 11068743
    Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of feature additions and an evaluation metric for assessing the performance of a statistical model. Next, the system automatically builds treatment versions of the statistical model using a set of baseline features for the statistical model and feature combinations generated using the feature additions. The system then uses a hypothesis test and a fixed set of feature values to compare a baseline value of the evaluation metric for a baseline version of the statistical model that is built using the set of baseline features with additional values of the evaluation metric for the treatment versions. Finally, the system outputs a result of the hypothesis test for use in assessing an impact of the feature combinations on a performance of the statistical model.
    Type: Grant
    Filed: December 18, 2017
    Date of Patent: July 20, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Cagri Ozcaglar, Vijay K. Dialani, Sara S. Gerrard, Sahin C. Geyik, Anish R. Nair
  • FEATURE SELECTION IMPACT ANALYSIS FOR STATISTICAL MODELS
    Publication number: 20190188531
    Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of feature additions and an evaluation metric for assessing the performance of a statistical model. Next, the system automatically builds treatment versions of the statistical model using a set of baseline features for the statistical model and feature combinations generated using the feature additions. The system then uses a hypothesis test and a fixed set of feature values to compare a baseline value of the evaluation metric for a baseline version of the statistical model that is built using the set of baseline features with additional values of the evaluation metric for the treatment versions. Finally, the system outputs a result of the hypothesis test for use in assessing an impact of the feature combinations on a performance of the statistical model.
    Type: Application
    Filed: December 18, 2017
    Publication date: June 20, 2019
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Cagri Ozcaglar, Vijay K. Dialani, Sara S. Gerrard, Sahin C. Geyik, Anish R. Nair