Patents by Inventor Vinith Suriyakumar

Vinith Suriyakumar 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).

  • Adaptive query optimization using machine learning
    Patent number: 12321346
    Abstract: A computer implemented method for processing database queries includes receiving a query and a set of runtime metrics corresponding to the query, wherein the query includes a set of elements, generating a set of encoded elements corresponding to the set of elements, processing the set of encoded elements and the set of runtime metrics to identify one or more possibly query classifications, determining a query execution plan according to the identified one or more possible query classifications, and executing the query according to the determined query execution plan. The computer implemented method may additionally include providing one or more runtime metrics corresponding to the executed query. A computer program product and a computer system corresponding to the method are also disclosed.
    Type: Grant
    Filed: June 26, 2019
    Date of Patent: June 3, 2025
    Assignee: International Business Machines Corporation
    Inventors: Vincent Corvinelli, Calisto Zuzarte, Vinith Suriyakumar, Joel Raymond Scarfone, Diana Koval
  • Leveraging Public Data in Training Neural Networks with Private Mirror Descent
    Publication number: 20230103911
    Abstract: A method include obtaining a set of differentially private (DP) gradients each generated based on processing corresponding private data, and obtaining a set of public gradients each generated based on processing corresponding public data. The method also includes applying mirror descent to the set of public gradients to learn a geometry for the set of DP gradients, and reshaping the set of DP gradients based on the learned geometry. The method further includes training a machine learning model based on the reshaped set of DP gradients.
    Type: Application
    Filed: October 4, 2022
    Publication date: April 6, 2023
    Applicant: Google LLC
    Inventors: Om Dipakbhai Thakkar, Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Vinith Suriyakumar, Abhradeep Guha Thakurta
  • Adaptive Query Optimization Using Machine Learning
    Publication number: 20200409948
    Abstract: A computer implemented method for processing database queries includes receiving a query and a set of runtime metrics corresponding to the query, wherein the query includes a set of elements, generating a set of encoded elements corresponding to the set of elements, processing the set of encoded elements and the set of runtime metrics to identify one or more possibly query classifications, determining a query execution plan according to the identified one or more possible query classifications, and executing the query according to the determined query execution plan. The computer implemented method may additionally include providing one or more runtime metrics corresponding to the executed query. A computer program product and a computer system corresponding to the method are also disclosed.
    Type: Application
    Filed: June 26, 2019
    Publication date: December 31, 2020
    Inventors: Vincent Corvinelli, Calisto Zuzarte, Vinith Suriyakumar, Joel Raymond Scarfone, Diana Koval