Patents by Inventor Sanjiv Das

Sanjiv Das 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: 20220171991
    Abstract: Views may be generated for bias metrics or feature attribution captured in machine learning pipelines. A request to create a view of bias metrics or feature attribution may be received. The bias metrics or feature attribution may have been determined in a machine learning pipeline as part of executing a training job that specified the bias metrics or the feature attribution. A development application may access a data store that stores the bias metrics or the feature attribution determined in the machine learning pipeline. A view based on the bias metrics or feature attribution may be generated and provided.
    Type: Application
    Filed: November 27, 2020
    Publication date: June 2, 2022
    Applicant: Amazon Technologies, Inc.
    Inventors: Sanjiv Das, Michele Donini, Jason Lawrence Gelman, Kevin Haas, Tyler Stephen Hill, Krishnaram Kenthapadi, Pinar Altin Yilmaz, Muhammad Bilal Zafar, Pedro L Larroy
  • Publication number: 20220172099
    Abstract: Bias metrics may be captured at different stages for training a machine learning model. A training job may specify bias metrics to capture at multiple different stages of a machine learning pipeline for a feature of a training data set used to train a machine learning model. The training job may be executed and the bias metrics determined at the stages as specified in the training job. The bias metrics for the different stages may be stored.
    Type: Application
    Filed: November 27, 2020
    Publication date: June 2, 2022
    Applicant: Amazon Technologies, Inc.
    Inventors: Sanjiv Das, Michele Donini, Jason Lawrence Gelman, Kevin Haas, Tyler Stephen Hill, Krishnaram Kenthapadi, Pinar Altin Yilmaz, Muhammad Bilal Zafar, Pedro L Larroy
  • Publication number: 20220172101
    Abstract: Feature attribution may be captured as part of a machine learning pipeline. A training job may include a request to determine feature attribution as part of a machine learning pipeline that trains a machine learning model from a training data set. A reference data set for determining the feature attribution of the machine learning model may be identified. The feature attribution may be determined based on the reference data set. The feature attribution of the trained machine learning model may be stored.
    Type: Application
    Filed: November 27, 2020
    Publication date: June 2, 2022
    Applicant: Amazon Technologies, Inc.
    Inventors: Sanjiv Das, Michele Donini, Jason Lawrence Gelman, Kevin Haas, Tyler Stephen Hill, Krishnaram Kenthapadi, Pinar Altin Yilmaz, Muhammad Bilal Zafar, Pedro L Larroy
  • Publication number: 20220172004
    Abstract: Bias metrics and feature attribution may be monitored for a machine learning model. A request to enable monitoring for bias metrics or feature attribution may be received. Monitoring may be enabled to evaluate respective performance of inferences of a machine learning model according to the enabled bias metrics or feature attribution. If a divergence from reference data is detected, then a notification indicating the divergence may be sent.
    Type: Application
    Filed: November 27, 2020
    Publication date: June 2, 2022
    Applicant: Amazon Technologies, Inc.
    Inventors: Sanjiv Das, Michele Donini, Jason Lawrence Gelman, Kevin Haas, Tyler Stephen Hill, Krishnaram Kenthapadi, Pinar Altin Yilmaz, Muhammad Bilal Zafar, Pedro L. Larroy