Patents by Inventor Jared Roesch

Jared Roesch 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).

  • OPTIMIZING MACHINE LEARNING MODELS
    Publication number: 20240112089
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Application
    Filed: December 13, 2023
    Publication date: April 4, 2024
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes
  • Optimizing machine learning models
    Patent number: 11886963
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: January 30, 2024
    Assignee: OctoML, Inc.
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes
  • Optimizing machine learning models
    Patent number: 11816545
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Grant
    Filed: November 9, 2021
    Date of Patent: November 14, 2023
    Assignee: OCTOML, INC.
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes
  • OPTIMIZING MACHINE LEARNING MODELS
    Publication number: 20220172110
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Application
    Filed: February 23, 2021
    Publication date: June 2, 2022
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes
  • OPTIMIZING MACHINE LEARNING MODELS
    Publication number: 20220172119
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Application
    Filed: November 9, 2021
    Publication date: June 2, 2022
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes
  • Optimizing machine learning models with a device farm
    Patent number: 11348036
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: May 31, 2022
    Assignee: OctoML, Inc.
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes
  • Optimizing machine learning models with a device farm
    Patent number: 11315042
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: April 26, 2022
    Assignee: OctoML, Inc.
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes
  • Optimizing machine learning models
    Patent number: 11216752
    Abstract: A facility for optimizing machine learning models is described. The facility obtains a description of a machine learning model and a hardware target for the machine learning model. The facility obtains optimization result data from a repository of optimization result data. The facility optimizes the machine learning model for the hardware target based on the optimization result data.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: January 4, 2022
    Assignee: OctoML, Inc.
    Inventors: Matthew Welsh, Jason Knight, Jared Roesch, Thierry Moreau, Adelbert Chang, Tianqi Chen, Luis Henrique Ceze, An Wang, Michal Piszczek, Andrew McHarg, Fletcher Haynes