Miroslav T Dudik

US Patent:

20130290223, Oct 31, 2013

Filed:

Apr 27, 2012

Appl. No.:

13/458545

Inventors:

Olivier Chapelle - Sunnyvale CA, US
John Langford - White Plains NY, US
Miroslav Dudik - Brooklyn NY, US
Alekh Agarwal - Berkeley CA, US

Assignee:

YAHOO! INC. - Sunnyvale CA

International Classification:

G06F 15/18

US Classification:

706 12

Abstract:

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.

US Patent:

20190057073, Feb 21, 2019

Filed:

Oct 22, 2018

Appl. No.:

16/166925

Inventors:

- Redmond WA, US
Miroslav Dudik - New York NY, US
Daniel Goldstein - New York NY, US

International Classification:

G06F 17/24
G06F 17/30

Abstract:

Various techniques for providing perspective annotation to numerical representations are disclosed herein. For example, a method includes detecting a numerical representation in an original content and retrieving one or more perspectives from a database based on the detected numerical representation. The one or more perspectives individually include a restatement of information contained in the numerical representation. The method can also include annotating the original content with the retrieved one or more perspectives to form an annotated content.

US Patent:

20170308535, Oct 26, 2017

Filed:

Apr 22, 2016

Appl. No.:

15/136688

Inventors:

- Redmond WA, US
Miroslav Dudik - Brooklyn NY, US
Akshay Krishnamurthy - New York NY, US
John Langford - Scarsdale NY, US
Adith Swaminathan - Ithaca NY, US

International Classification:

G06F 17/30
G06N 7/00
G06F 17/30

Abstract:

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.

US Patent:

20160105351, Apr 14, 2016

Filed:

Oct 13, 2014

Appl. No.:

14/513012

Inventors:

- Redmond WA, US
Alekh Agarwal - New York NY, US
John Langford - Scarsdale NY, US
Sarah L. Bird - Brooklyn NY, US
Siddhartha Sen - New York NY, US
Lihong Li - Redmond WA, US
Miroslav Dudik - Brooklyn NY, US
Leon Bottou - New York NY, US

International Classification:

H04L 12/26

Abstract:

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.

US Patent:

20140379462, Dec 25, 2014

Filed:

Jun 21, 2013

Appl. No.:

13/923388

Inventors:

- Redmond WA, US
David Pennock - Princeton NJ, US
Miroslav Dudik - Brooklyn NY, US
Zhiyi Huang - Philadelphia PA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06Q 30/02

US Classification:

705 1446

Abstract:

A real-time prediction market is described. A plurality of predictor agents set forth respective predictions as to a likelihood that an advertisement will be selected when displayed together with certain publisher content. The advertisement is selected from amongst a plurality of advertisements based upon the plurality of predictions set forth by the plurality of predictor agents. Third parties corresponding to the predictor agents are compensated or penalized as a function of predictive accuracy of the predictor agents.

US Patent:

20140281874, Sep 18, 2014

Filed:

Mar 13, 2013

Appl. No.:

13/801365

Inventors:

- Redmond WA, US
Miroslav Dudik - New York NY, US
Daniel Goldstein - New York NY, US

Assignee:

MICROSOFT CORPORATION - Redmond WA

International Classification:

G06F 17/24

US Classification:

715230

Abstract:

Various techniques for providing perspective annotation to numerical representations are disclosed herein. For example, a method includes detecting a numerical representation in an original content and retrieving one or more perspectives from a database based on the detected numerical representation. The one or more perspectives individually include a restatement of information contained in the numerical representation. The method can also include annotating the original content with the retrieved one or more perspectives to form an annotated content.