Patents by Inventor Alekh Agarwal
Alekh Agarwal 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).
-
Patent number: 11182280Abstract: The claimed subject matter includes techniques for providing an application testing service with a user interface that enables a user to evaluate performance data for computer implemented decision policies. An example method includes displaying a first reward statistic comprising an actual performance result for a policy implemented by an application. The method also includes obtaining experimental data corresponding to previously implemented policies, computing a second reward statistic for a hypothetical policy using a reward function applied to the experimental data. The method also includes displaying the second reward statistic together with the first reward statistic to enable a user to compare the first reward statistic and the second first reward statistic.Type: GrantFiled: December 12, 2017Date of Patent: November 23, 2021Assignee: Microsoft Technology Licensing, LLCInventors: Aleksandrs Slivkins, John Langford, Markus Cozowicz, Alekh Agarwal, Siddhartha Sen
-
Patent number: 10284664Abstract: The claimed subject matter includes techniques for providing an application testing service. An example method includes receiving context information from a client system, the context information comprising parameters that describe details of a user interaction with an application under test (AUT). The method also includes receiving a set of potential actions from the client system. The method also includes identifying a selected action from the set of potential actions and sending the selected action to the client system, wherein the AUT is customized based on the selected action. The method also includes receiving reward data from the client system based on a user's interaction with the AUT. The method also includes storing the context information, the selected action, and the reward data to a log of application test data.Type: GrantFiled: October 13, 2014Date of Patent: May 7, 2019Assignee: Microsoft Technology Licensing, LLCInventors: Aleksandrs Slivkins, Alekh Agarwal, John Langford, Sarah L. Bird, Siddhartha Sen, Lihong Li, Miroslav Dudik, Leon Bottou
-
Publication number: 20180101473Abstract: The claimed subject matter includes techniques for providing an application testing service with a user interface that enables a user to evaluate performance data for computer implemented decision policies. An example method includes displaying a first reward statistic comprising an actual performance result for a policy implemented by an application. The method also includes obtaining experimental data corresponding to previously implemented policies, computing a second reward statistic for a hypothetical policy using a reward function applied to the experimental data. The method also includes displaying the second reward statistic together with the first reward statistic to enable a user to compare the first reward statistic and the second first reward statistic.Type: ApplicationFiled: December 12, 2017Publication date: April 12, 2018Applicant: Microsoft Technology Licensing, LLCInventors: Aleksandrs SLIVKINS, John LANGFORD, Markus COZOWICZ, Alekh AGARWAL, Siddhartha SEN
-
Publication number: 20170308535Abstract: A computing device can determine a decomposition of data of actions of a first session based at least in part on a first computational model associating the actions of the first session with corresponding state values of the first session. The computing device can determine a second computational model based at least in part on the decomposition and an operation template. The computing device can receive a query via the communications interface, the query associated with the second session. The computing device can determine a state value of the second session based at least in part on the query. The computing device can operate the second computational model to determine at least one response associated with the query based at least in part on the state value of the second session. The computing device can provide an indication of the at least one response via the communications interface.Type: ApplicationFiled: April 22, 2016Publication date: October 26, 2017Inventors: Alekh Agarwal, Miroslav Dudik, Akshay Krishnamurthy, John Langford, Adith Swaminathan
-
Patent number: 9633315Abstract: Method, system, and programs for distributed machine learning on a cluster including a plurality of nodes are disclosed. A machine learning process is performed in each of the plurality of nodes based on a respective subset of training data to calculate a local parameter. The training data is partitioned over the plurality of nodes. A plurality of operation nodes are determined from the plurality of nodes based on a status of the machine learning process performed in each of the plurality of nodes. The plurality of operation nodes are connected to form a network topology. An aggregated parameter is generated by merging local parameters calculated in each of the plurality of operation nodes in accordance with the network topology.Type: GrantFiled: April 27, 2012Date of Patent: April 25, 2017Assignee: EXCALIBUR IP, LLCInventors: Olivier Chapelle, John Langford, Miroslav Dudik, Alekh Agarwal
-
Publication number: 20160105351Abstract: The claimed subject matter includes techniques for providing an application testing service. An example method includes receiving context information from a client system, the context information comprising parameters that describe details of a user interaction with an application under test (AUT). The method also includes receiving a set of potential actions from the client system. The method also includes identifying a selected action from the set of potential actions and sending the selected action to the client system, wherein the AUT is customized based on the selected action. The method also includes receiving reward data from the client system based on a user's interaction with the AUT. The method also includes storing the context information, the selected action, and the reward data to a log of application test data.Type: ApplicationFiled: October 13, 2014Publication date: April 14, 2016Inventors: Aleksandrs Slivkins, Alekh Agarwal, John Langford, Sarah L. Bird, Siddhartha Sen, Lihong Li, Miroslav Dudik, Leon Bottou
-
Publication number: 20130290223Abstract: Method, system, and programs for distributed machine learning on a cluster including a plurality of nodes are disclosed. A machine learning process is performed in each of the plurality of nodes based on a respective subset of training data to calculate a local parameter. The training data is partitioned over the plurality of nodes. A plurality of operation nodes are determined from the plurality of nodes based on a status of the machine learning process performed in each of the plurality of nodes. The plurality of operation nodes are connected to form a network topology. An aggregated parameter is generated by merging local parameters calculated in each of the plurality of operation nodes in accordance with the network topology.Type: ApplicationFiled: April 27, 2012Publication date: October 31, 2013Applicant: YAHOO! INC.Inventors: Olivier Chapelle, John Langford, Miroslav Dudik, Alekh Agarwal