Patents by Inventor Rajkumar RAMASAMY

Rajkumar RAMASAMY 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).

  • Rapid adjustment evaluation for slow-scoring machine learning models
    Patent number: 11640556
    Abstract: Techniques performed by a data processing system for analyzing the impact of training data changes on a machine learning model herein include training a first instance of a machine learning model with a first set of training data; modifying the first set of training data to produce a second set of training data; training a second instance of the model with the second set of training data; comparing the first instance of the model to the second instance of the model to determine features that differ between the first instance and the second instance of the model; identifying a subset of historical data associated with the features that differ between the first instance and the second instance of the model; and scoring the subset of the historical data to produce a report identifying differences in the output of the first instance and the second instance of the machine learning model.
    Type: Grant
    Filed: January 28, 2020
    Date of Patent: May 2, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Nishant Velagapudi, Zhengwen Zhu, Venkatasatya Premnath Ayyalasomayajula, Rajkumar Ramasamy
  • Rapid Adjustment Evaluation for Slow-Scoring Machine Learning Models
    Publication number: 20210232980
    Abstract: Techniques performed by a data processing system for analyzing the impact of training data changes on a machine learning model herein include training a first instance of a machine learning model with a first set of training data; modifying the first set of training data to produce a second set of training data; training a second instance of the model with the second set of training data; comparing the first instance of the model to the second instance of the model to determine features that differ between the first instance and the second instance of the model; identifying a subset of historical data associated with the features that differ between the first instance and the second instance of the model; and scoring the subset of the historical data to produce a report identifying differences in the output of the first instance and the second instance of the machine learning model.
    Type: Application
    Filed: January 28, 2020
    Publication date: July 29, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Nishant VELAGAPUDI, Zhengwen ZHU, Venkatasatya Premnath AYYALASOMAYAJULA, Rajkumar RAMASAMY