Patents by Inventor Ari Buchalter

Ari Buchalter 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).

  • Methods, systems, and devices for counterfactual-based incrementality measurement in digital ad-bidding platform
    Patent number: 12626280
    Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.
    Type: Grant
    Filed: December 14, 2022
    Date of Patent: May 12, 2026
    Assignee: MediaMath Acquisition Corporation
    Inventors: Prasad Chalasani, Ari Buchalter, Ezra Winston, Jaynth Thiagarajan
  • METHODS, SYSTEMS, AND DEVICES FOR COUNTERFACTUAL-BASED INCREMENTALITY MEASUREMENT IN DIGITAL AD-BIDDING PLATFORM
    Publication number: 20240185304
    Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.
    Type: Application
    Filed: December 14, 2022
    Publication date: June 6, 2024
    Inventors: Prasad Chalasani, Ari Buchalter, Ezra Winston, Jaynth Thiagarajan
  • Methods, systems, and devices for counterfactual-based incrementality measurement in digital ad-bidding platform
    Patent number: 11556964
    Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.
    Type: Grant
    Filed: September 27, 2021
    Date of Patent: January 17, 2023
    Assignee: MediaMath, Inc.
    Inventors: Prasad Chalasani, Ari Buchalter, Ezra Winston, Jaynth Thiagarajan
  • METHODS, SYSTEMS, AND DEVICES FOR COUNTERFACTUAL-BASED INCREMENTALITY MEASUREMENT IN DIGITAL AD-BIDDING PLATFORM
    Publication number: 20220084075
    Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.
    Type: Application
    Filed: September 27, 2021
    Publication date: March 17, 2022
    Inventors: Prasad Chalasani, Ari Buchalter, Ezra Winston, Jaynth Thiagarajan
  • METHODS, SYSTEMS, AND DEVICES FOR COUNTERFACTUAL-BASED INCREMENTALITY MEASUREMENT IN DIGITAL AD-BIDDING PLATFORM
    Publication number: 20210357988
    Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.
    Type: Application
    Filed: March 1, 2021
    Publication date: November 18, 2021
    Inventors: Prasad Chalasani, Ari Buchalter, Ezra Winston, Jaynth Thiagarajan
  • Methods, systems, and devices for counterfactual-based incrementality measurement in digital ad-bidding platform
    Patent number: 11170413
    Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.
    Type: Grant
    Filed: March 1, 2021
    Date of Patent: November 9, 2021
    Assignee: MediaMath, Inc.
    Inventors: Prasad Chalasani, Ari Buchalter, Ezra Winston, Jaynth Thiagarajan
  • Methods, systems, and devices for counterfactual-based incrementality measurement in digital ad-bidding platform
    Patent number: 10977697
    Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.
    Type: Grant
    Filed: May 29, 2019
    Date of Patent: April 13, 2021
    Assignee: MediaMath, Inc.
    Inventors: Prasad Chalasani, Ari Buchalter, Ezra Winston, Jaynth Thiagarajan
  • METHODS, SYSTEMS, AND DEVICES FOR COUNTERFACTUAL-BASED INCREMENTALITY MEASUREMENT IN DIGITAL AD-BIDDING PLATFORM
    Publication number: 20190347697
    Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.
    Type: Application
    Filed: May 29, 2019
    Publication date: November 14, 2019
    Inventors: Prasad Chalasani, Ari Buchalter, Ezra Winston, Jaynth Thiagarajan
  • Methods, systems, and devices for counterfactual-based incrementality measurement in digital ad-bidding platform
    Patent number: 10467659
    Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.
    Type: Grant
    Filed: August 2, 2017
    Date of Patent: November 5, 2019
    Assignee: MediaMath, Inc.
    Inventors: Prasad Chalasani, Ari Buchalter, Ezra Winston, Jaynth Thiagarajan
  • METHODS, SYSTEMS, AND DEVICES FOR COUNTERFACTUAL-BASED INCREMENTALITY MEASUREMENT IN DIGITAL AD-BIDDING PLATFORM
    Publication number: 20180040032
    Abstract: A digital ad-buying platform uses counterfactual-based incrementality measurement by implementing randomization and/or a correction for auction win bias to avoid the need to identify counterfactual winner types in the control group. This approach can estimate impact at the individual consumer level. Confidence levels can be determined using Gibbs sampling in the context of causal analysis in the presence of non-compliance.
    Type: Application
    Filed: August 2, 2017
    Publication date: February 8, 2018
    Inventors: Prasad Chalasani, Ari Buchalter, Ezra Winston, Jaynth Thiagarajan