Patents by Inventor Boryana MANZ

Boryana MANZ 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).

  • RESOURCE ALLOCATION OPTIMIZATION FOR MULTI-DIMENSIONAL MACHINE LEARNING ENVIRONMENTS
    Publication number: 20230229506
    Abstract: Some embodiments of the present application include obtaining first data from a data feed to be provided to a plurality of machine learning models and detecting a changepoint in the first data. In response to the changepoint being detected, a first machine learning model may be executed on the first data to obtain first output datasets. A first performance score for the first machine learning model may be computed based on the first output datasets. A second machine learning model may be caused to execute on the first data based on the first performance score satisfying a first condition.
    Type: Application
    Filed: March 7, 2023
    Publication date: July 20, 2023
    Applicant: Capital One Services, LLC
    Inventors: Xinyu CHEN, Abhishek SHRIVASTAVA, Boryana MANZ, Yingbo LI, Katelyn GE, Jason REDD, Shubham CHITKARA, Pothuraju TALLAPANENI
  • Resource allocation optimization for multi-dimensional machine learning environments
    Patent number: 11620162
    Abstract: Some embodiments of the present application include obtaining first data from a data feed to be provided to a plurality of machine learning models and detecting a changepoint in the first data. In response to the changepoint being detected, a first machine learning model may be executed on the first data to obtain first output datasets. A first performance score for the first machine learning model may be computed based on the first output datasets. A second machine learning model may be caused to execute on the first data based on the first performance score satisfying a first condition.
    Type: Grant
    Filed: May 24, 2021
    Date of Patent: April 4, 2023
    Assignee: Capital One Services, LLC
    Inventors: Xinyu Chen, Abhishek Shrivastava, Boryana Manz, Yingbo Li, Katelyn Ge, Jason Redd, Shubham Chitkara, Pothuraju Tallapaneni
  • RESOURCE ALLOCATION OPTIMIZATION FOR MULTI-DIMENSIONAL MACHINE LEARNING ENVIRONMENTS
    Publication number: 20220374274
    Abstract: Some embodiments of the present application include obtaining first data from a data feed to be provided to a plurality of machine learning models and detecting a changepoint in the first data. In response to the changepoint being detected, a first machine learning model may be executed on the first data to obtain first output datasets. A first performance score for the first machine learning model may be computed based on the first output datasets. A second machine learning model may be caused to execute on the first data based on the first performance score satisfying a first condition.
    Type: Application
    Filed: May 24, 2021
    Publication date: November 24, 2022
    Applicant: Capital One Services, LLC
    Inventors: Xinyu Chen, Abhishek Shrivastava, Boryana Manz, Yingbo Li, Katelyn Ge, Jason Redd, Shubham Chitkara, Pothuraju Tallapaneni
  • METHOD AND SYSTEM FOR BUILDING A MACHINE LEARNING MODEL
    Publication number: 20210241182
    Abstract: A system and a process for building, monitoring, and rebuilding machine learning models includes building a plurality of machine learning models from a design specification, deploy the plurality of machine learning models for operation, and designating a champion and at least one challenger from the plurality of machine learning models built. The system and the process evaluate the plurality of machine learning models and provide results of the evaluation.
    Type: Application
    Filed: February 5, 2020
    Publication date: August 5, 2021
    Applicant: Capital One Services, LLC
    Inventors: Abhishek SHRIVASTAVA, Boryana MANZ, James FIEDLER, Robert Cezeaux