Patents by Inventor Andrew OESTREICHER

Andrew OESTREICHER 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).

  • SYSTEMS AND METHODS FOR DYNAMICALLY UPDATING MACHINE LEARNING MODELS THAT PROVIDE CONVERSATIONAL RESPONSES
    Publication number: 20240046922
    Abstract: Methods and systems for dynamically updating machine learning models that provide conversational responses through the use of a configuration file that defines modifications and changes to the machine learning model are disclosed. For example, the configuration file may be used to define an expected behavior and required attributes for instituting modifications and changes (e.g., via a mutation algorithm) to the machine learning model.
    Type: Application
    Filed: October 18, 2023
    Publication date: February 8, 2024
    Applicant: Capital One Services, LLC
    Inventors: Tate TRAVAGLINI, Andrew OESTREICHER, Victor ALVAREZ MIRANDA, Parag JAIN, Rui ZHANG
  • Systems and methods for dynamically updating machine learning models that provide conversational responses
    Patent number: 11798540
    Abstract: Methods and systems for dynamically updating machine learning models that provide conversational responses through the use of a configuration file that defines modifications and changes to the machine learning model are disclosed. For example, the configuration file may be used to define an expected behavior and required attributes for instituting modifications and changes (e.g., via a mutation algorithm) to the machine learning model.
    Type: Grant
    Filed: February 14, 2023
    Date of Patent: October 24, 2023
    Assignee: Capital One Services, LLC
    Inventors: Tate Travaglini, Andrew Oestreicher, Victor Alvarez Miranda, Parag Jain, Rui Zhang
  • SYSTEMS AND METHODS FOR DYNAMICALLY UPDATING MACHINE LEARNING MODELS THAT PROVIDE CONVERSATIONAL RESPONSES
    Publication number: 20230197068
    Abstract: Methods and systems for dynamically updating machine learning models that provide conversational responses through the use of a configuration file that defines modifications and changes to the machine learning model are disclosed. For example, the configuration file may be used to define an expected behavior and required attributes for instituting modifications and changes (e.g., via a mutation algorithm) to the machine learning model.
    Type: Application
    Filed: February 14, 2023
    Publication date: June 22, 2023
    Applicant: Capital One Services, LLC
    Inventors: Tate TRAVAGLINI, Andrew OESTREICHER, Victor ALVAREZ MIRANDA, Parag JAIN, Rui ZHANG
  • Systems and methods for dynamically updating machine learning models that provide conversational responses
    Patent number: 11605375
    Abstract: Methods and systems for dynamically updating machine learning models that provide conversational responses through the use of a configuration file that defines modifications and changes to the machine learning model are disclosed. For example, the configuration file may be used to define an expected behavior and required attributes for instituting modifications and changes (e.g., via a mutation algorithm) to the machine learning model.
    Type: Grant
    Filed: March 5, 2021
    Date of Patent: March 14, 2023
    Assignee: Capital One Services, LLC
    Inventors: Tate Travaglini, Andrew Oestreicher, Victor Alvarez Miranda, Parag Jain, Rui Zhang
  • SYSTEMS AND METHODS FOR DYNAMICALLY UPDATING MACHINE LEARNING MODELS THAT PROVIDE CONVERSATIONAL RESPONSES
    Publication number: 20220284889
    Abstract: Methods and systems for dynamically updating machine learning models that provide conversational responses through the use of a configuration file that defines modifications and changes to the machine learning model are disclosed. For example, the configuration file may be used to define an expected behavior and required attributes for instituting modifications and changes (e.g., via a mutation algorithm) to the machine learning model.
    Type: Application
    Filed: March 5, 2021
    Publication date: September 8, 2022
    Applicant: Capital One Services, LLC
    Inventors: Tate TRAVAGLINI, Andrew OESTREICHER, Victor ALVAREZ MIRANDA, Parag JAIN, Rui ZHANG